81k | Director, Data & Analytics/ AI @ Gartner

Summary

Making state-of-the-art Artificial Intelligence concepts accessible and profitable to professionals from any background for over 35 years!

Highlights
-  Veteran innovator with 3 decades of experience leading state-of-the-art AI and Analytics ventures
-  98% of students surveyed would recommend me to peers
-  Generative AI/ Agentic AI expert-  ChatGPT, Claude, Copilot, Perplexity, Lovable, n8n, more
-  Experienced AI instructor for Cisco, LinkedIn Learning, University of Pennsylvania, & Simplilearn
-  Senior AI Curriculum Advisor for Graduate School of Education at Ivy League university UPenn
-  Winner, International Society of Data Scientists Outstanding Voice Award
-  Social media leader with over 107k LinkedIn followers


Selected Clients
 
-  3M
-  Audi
-  Biogen 
-  Booz Allen Hamilton
-  Bristol-Myers Squibb
-  Cisco
-  Citicorp
-  Franklin Templeton
-  Gartner/ Evanta
-  Harvard Innovation Labs’ Experfy
-  IBM
-  International Olympic Committee
-  Los Angeles Times
-  Mercedes
-  Morgan Stanley
-  Royal Bank of Canada
-  St. Jude’s Children’s Hospital
-  Wells Fargo
-  US Homeland Security
-  US Veterans Administration 
-  Yale University

Partial Skills Inventory
 
-  AIOps
-  Accountable AI/ Ethics
-  Anomaly Detection
-  Anthropic/ Claude
-  Artificial Intelligence
-  AWS
-  Brokerage Firms
-  Client Management
-  Consulting
-  Compelling Presentations
-  Compliance Regs and Frameworks
-  Curriculum Development
-  Dashboards
-  Data Storytelling
-  Data Visualization
-  Education
-  Explainable AI
-  Feature Engineering
-  Financial Services
-  Fraud Detection
-  Gap Analysis
-  Generative AI
-  GitHub Models
-  Google Cloud
-  Google Gemini
-  Insurance
-  KPI's and Metrics
-  Lovable AI
-  Machine Learning
-  Microsoft Azure
-  MLOps
-  Model Ensembles
-  Nano Banana
-  OpenAI/ ChatGPT
-  Orange Data Mining
-  Perplexity
-  Postgres SQL
-  Professional Development
-  Research
-  Retail
-  Retention and Attrition
-  SPSS
-  SQL Server
-  Underwriting

T. Scott Clendaniel

🔬 #ArtificialIntelligence 𝗛𝗶𝗿𝗶𝗻𝗴- 𝗝𝘂𝘀𝘁 𝗪𝗵𝗮𝘁 𝗔𝗥𝗘 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗿𝘀 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿?

The Terrible Facts:
- Artificial Intelligence needs a lot more experts.
- Tons of qualified professionals aren't getting hired.
- The expectations of hiring managers are just out of control.

If you're a hiring manager, please STOP looking for an entire department in just one employee.  It simply doesn't work that way.  You need a team.

Personally, I find the job search to be truly dreadful. It is exhausting, soul-crushing, depressing, dispiriting- actually, I will run out time before I run of negative emotions on this topic!  

But I hold out hope that one day everyone else will figure this out!

Please follow me for more analysis! 

- T. Scott Clendaniel

#AI Training for Executives | 108K LinkedIn Followers

It’s been a while since I started my role at Nautilus-AI.com as a Chief Learning Officer, but I wanted to share this update with everyone.

🔬 #ArtificialIntelligence: 𝗪𝗵𝗲𝗿𝗲 𝗗𝗼 𝗬𝗢𝗨 "𝗔𝗜"?

Our friends at GiGadgets researched something extraordinarily fun!

AI isn't the only place where innovation occurs.  Sometimes, the very desks we use to work with GenAI, Machine Learning, or any of the rest of AI occurs can show us remarkable creativity.

Take a look and smile!

- T. Scott Clendaniel

🔬 True Wisdom via Michael Tchuindjang!

Cybersecurity Thought Leader | Bridging Academia & Industry | Mentor for Startups & Aspiring Cyber Pros | Board Member Driving Cyber Impact | Associate Lecturer in Cybersecurity

Boardroom AI Strategy Meeting (2026 Edition) 



CEO: Who are we?
Boardroom: CEOs

CEO: What do we want?
Boardroom: AI!

CEO: AI to do what exactly?
Boardroom: We don’t know

CEO: When do we want it?
Boardroom: RIGHT NOW

If you’ve ever sat in a boardroom lately, this probably feels uncomfortably familiar.

AI has become the new magic word:

Replace “digital transformation”

Upgrade from “blockchain”

Stronger than “cloud-first”

Don’t get me wrong, AI is here to stay.

But AI without a clear problem, data readiness, risk assessment, or ethics is just… expensive enthusiasm.

Real innovation starts when we ask better questions:

What problem are we solving?
What risks are we introducing?
Who is accountable when AI fails?
Are humans still in the loop?

Otherwise, we’re not building AI strategies, we’re just speed-running confusion with a GPU 😄

Credits to @Cyber Writes ✍.

#ai #cybersecurity #security #leadership #aihype #responsibleai #jobs #hiringandpromotion #hiring #techhumor #humor #memes #klex

🔬 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜/ 𝗩𝗶𝗯𝗲 𝗖𝗼𝗱𝗶𝗻𝗴, 𝗦𝘁𝗲𝗽-𝗕𝘆-𝗦𝘁𝗲𝗽:
𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗔 𝗖𝘂𝘀𝘁𝗼𝗺 𝗦𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁 𝗔𝗽𝗽!

What happens when you're building Artificial Intelligence training and a process for execution?  You need to be able to manage all you video assets.  

But what if you want to go further?  What if you want to go beyond Google Sheets and Microsoft Excel and create your own app?

Well it helps if you're a genius like Tianyu Xu!  🤣 

However, I don't have that kind of luck.  So instead, I'm going to share his amazing video.  Take notes.  

Then #SAVE and #SHARE this with your teams and peers!

Happy AI-ing!

T. Scott Clendaniel

🎉 𝗚𝗲𝗻𝗔𝗜 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗪𝗶𝘁𝗵 𝗧𝗵𝗲 𝗣𝗲𝗿𝗶𝗼𝗱𝗶𝗰 𝗧𝗮𝗯𝗹𝗲! 

Here is the magic of video!

Generative AI can build entire new worlds.  This is one I absolutely love.  Mini planets made from elements in the period table:


𝗘𝗹𝗲𝗺𝗲𝗻𝘁𝘀

▶ 1.  Copper
▶ 2.  Mercury
▶ 3.  Calcium

▶ 4.  Magnesium
▶ 5.  Palladium
▶ 6.  Uranium

▶ 7.  Arsen
▶ 8.  Lead
▶ 9.  Chlorine

Happy Chemistry

Please SAVE and SHARE!  You can follow me: T. Scott Clendaniel

🔬 𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴 #AI: 𝗦𝘁𝗲𝗮𝗹𝗶𝗻𝗴 𝗮 𝗩𝗶𝗱𝗲𝗼 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 𝗳𝗿𝗼𝗺 𝗚𝗲𝗼𝗺𝗲𝘁𝗿𝘆!

Picture this: you’re holding a cube. It’s got 8 corners, 12 edges, and 6 faces. 

Add the corners and faces, subtract the edges, and you always get 2. Every time. That’s Euler’s Polyhedron Formula—V - E + F = 2. It works for a cube, a pyramid, even a soccer ball.

So why does that matter? Because it’s a reminder that under all complexity, there’s structure. Euler didn’t just find a number—he found a pattern that connects everything.

That’s how I think about explaining AI. The goal isn’t to drown people in details; it’s to show the structure beneath the surface. When you connect data (edges), decisions (vertices), and outcomes (faces) just right, people get it.

The best teachers—whether they’re explaining geometry or generative AI—make the complex feel simple and the simple feel profound. That’s how real understanding sticks.

Happy Learning,

T. Scott Clendaniel

Deloitte Top #AI and Tech Trends for 2026!

Thanks to Andreas Horn, Head of AIOps for IBM, we get a great summary of the document.
Here are my top 3:

1. The AI Bubble is real.  Organizations will stop funding GenAI unless real ROI starts appearing.

2.  Training and change management are the keys for results.

3. Operational concerns with AI projects are going to get recognized as top priorities.

Head of AIOps @ IBM || Speaker | Lecturer | Advisor

Deloitte 𝗷𝘂𝘀𝘁 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝘁𝗵𝗲𝗶𝗿 𝗧𝗲𝗰𝗵 𝗧𝗿𝗲𝗻𝗱𝘀 𝟮𝟬𝟮𝟲 𝗿𝗲𝗽𝗼𝗿𝘁.

As the year is getting started, we’re entering the season where every company publishes its outlook on the future. Sometimes these predictions age remarkably well. Sometimes they miss the mark entirely. That’s the uncomfortable truth about forecasting technology futures.

But on the overall signal, I largely agree with this one: AI is no longer an add-on. It’s becoming the core operating logic of the enterprise. Enterprise IT is becoming: AI-native by default

𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗵𝗶𝗴𝗵-𝗹𝗲𝘃𝗲𝗹 𝘃𝗶𝗲𝘄 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗼𝗽 5 𝘁𝗿𝗲𝗻𝗱𝘀: ⬇️

1. AI goes physical
→ AI is leaving dashboards and APIs and entering the real world. Robotics, autonomous systems, drones, and industrial automation are moving from scripted behavior to adaptive intelligence.

2. The agentic reality check
→ Agentic AI is real, but still underdelivering in production. Only a small minority of enterprises run agents at scale today. The reason is not models. It is architecture, governance, and operating models. 2026 will show more redesign processes around agents instead of bolting agents onto old workflows. 

3. The AI infrastructure reckoning
→ Inference economics are becoming the boardroom topic. Token prices are down, total AI spend is up. Enterprises are hitting cloud cost ceilings and shifting to hybrid architectures: cloud for burst, on-prem for steady inference, edge for latency. .

4.  Security becomes an AI-native discipline
→ AI is both the attack surface and the defense layer. Shadow AI, adversarial attacks, and model vulnerabilities force security to span data, models, applications, and infrastructure. At the same time, AI-powered red teaming, threat detection, and autonomous response are becoming mandatory.

5. The great rebuild of tech organizations
→ This is not about automation. This is organizational redesign. CIOs evolve into AI orchestrators. New roles emerge around human-agent collaboration. Architectures become modular, agent-first, and outcome-driven. Incremental change will not be enough. Continuous evolution becomes the operating principle.

What's missing from your view?

Full report below and here: https://lnkd.in/deAtYpME

Here's my personal outlook for 2026 and the top 8 trends I see around AI: https://lnkd.in/dvBdHt44 

↓

𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱 𝗮𝘀 𝗔𝗜 𝗿𝗲𝘀𝗵𝗮𝗽𝗲𝘀 𝘄𝗼𝗿𝗸 𝗮𝗻𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗴𝗲𝘁 𝗮 𝗹𝗼𝘁 𝗼𝗳 𝘃𝗮𝗹𝘂𝗲 𝗳𝗿𝗼𝗺 𝗺𝘆 𝗳𝗿𝗲𝗲 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://lnkd.in/dbf74Y9E

Deloitte - Tech Trends 2026

🔬 #ArtificialIntelligence Innovation: Human-Powered Helicopter!  

Human-powered helicopter hovers for more than a minute, defying sceptics' claims it was scientifically impossible!


𝗧𝗵𝗲 𝗖𝗼𝗻𝘁𝗲𝘀𝘁

The Igor I Sikorsky Human Powered Helicopter Competition was launched in 1980 by the American Helicopter Society (AHS). The rules stated that the $250,000 prize could only be won by a human-powered machine capable of hovering for at least 60 seconds, reach at least 3 metres in height, and stay within an area 10 metres by 10 metres.

On Thursday, the award was handed over to the AeroVelo project, led by Todd Reichert and Cameron Robertson. Their winning flying machine, called Atlas, has a set of 20-metre rotors at each corner of a square frame 50 metres on each side, and is powered by a bicycle at the centre of the square.

Thanks to the use of lightweight materials, such as carbon fibre, the whole setup only weighs only 55kg despite its huge size. The team describe the Atlas machine in detail in a claim for a world record to the FAI (Fédération Aéronautique Internationale).

"This isn't something that you're going to commute to work in any time soon, but it's an exercise in really pushing the limits on what's physically possible, and what you can do with lightweight materials and really creative design," Reichert told the Canadian Press. "Winning this competition really is a catalyst to keep doing the things we love. Our goal is to take on projects that really inspire people to follow big dreams."


𝗧𝗵𝗲 𝗪𝗶𝗻𝗻𝗲𝗿𝘀

The AeroVelo team started work on Atlas in January 2012 and flight testing began in August. They refined the design over the following months and, despite two big crashes that destroyed much of their work, Reichert piloted the machine to make the record-breaking flight on 13 June (if you're reading on a mobile device click here to see the flight).

At the presentation of the prize on Thursday, AHS executive director, Mike Hirschberg, said that many in the world's vertical flight community had thought the Sikorsky challenge was impossible. "Several studies 'proved' that it was in fact scientifically impossible," he said. "A human being simply could not generate enough power for long enough to keep a human-powered helicopter in the air for 60 seconds, much less reach 3 metres. And when you add the weight of a control system to keep it hovering over a 10-metre box, it made it even more impossible.

"Well, it took a third of a century to prove those sceptics wrong. It took that long for the state of the art of vertical flight to see significant technological advances in lightweight structures, computer-aided design, aeromechanics, and multidisciplinary design optimisation."

Gotta love innovation!

T. Scott Clendaniel

🔬 #ArtificialIntelligence 𝗶𝗻 𝗗𝗲𝘀𝗶𝗴𝗻: 𝗣𝗿𝗼𝘀𝘁𝗵𝗲𝘁𝗶𝗰 𝗟𝗶𝗺𝗯𝘀!

SoftFoot Pro is a cutting-edge, motorless prosthetic foot developed by Italian researchers, mimicking human foot anatomy with flexible chains and titanium to adapt passively to terrain, offering better stability, natural movement (like bending), and improved energy efficiency for amputees, and also serving as a robotic component. 


---
𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 & 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀
---

▶▶ 𝗛𝘂𝗺𝗮𝗻-𝗜𝗻𝘀𝗽𝗶𝗿𝗲𝗱 𝗗𝗲𝘀𝗶𝗴𝗻
Emulates the shape and structures of the human foot, including the plantar fascia, using flexible components.

▶▶ 𝗣𝗮𝘀𝘀𝗶𝘃𝗲 𝗔𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻
Its flexible sole and chain system allow it to deform and widen its contact area, naturally adapting to rough or slippery surfaces without motors.

▶▶ 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗠𝗼𝗯𝗶𝗹𝗶𝘁𝘆
Enhances stability, allows for natural actions like bending down, and makes navigating stairs easier for users.

▶▶ 𝗟𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁 & 𝗦𝘁𝗿𝗼𝗻𝗴
Weighs about 450g and supports up to 100kg, using titanium/aluminum and high-strength plastic chains.

Have a great week!

Follow me for more tips: T. Scott Clendaniel

🔬  #GenAI- 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗖𝗼𝗻𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗮𝗹 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀!

CNN's are the basis for many tools, including most of the computer vision, image, and video generation for Generative AI.  Here's how to teach it to your team.


𝗧𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀

A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio.

Convolution-based networks are the de-facto standard in deep learning-based approaches to computer vision and image processing, and have only recently have been replaced -- in some cases -- by newer deep learning architectures such as the transformer. Vanishing gradients and exploding gradients, seen during backpropagation in earlier neural networks, are prevented by using regularized weights over fewer connections.

For example, for each neuron in the fully-connected layer, 10,000 weights would be required for processing an image sized 100 × 100 pixels. However, applying cascaded convolution (or cross-correlation) kernels, only 25 neurons are required to process 5x5-sized tiles. Higher-layer features are extracted from wider context windows, compared to lower-layer features.


𝗦𝗼𝗺𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗖𝗡𝗡'𝘀

▶▶   image and video recognition
▶▶   recommender systems
▶▶   image classification
▶▶   image segmentation

▶▶   medical image analysis
▶▶   natural language processing
▶▶   brain–computer interfaces
▶▶   financial time series

CNNs are also known as shift invariant or space invariant artificial neural networks, based on the shared-weight architecture of the convolution kernels or filters that slide along input features and provide translation-equivariant responses known as feature maps.  Counter-intuitively, most convolutional neural networks are not invariant to translation, due to the downsampling operation they apply to the input.

Via Wikipedia ==> https://bit.ly/4126GDT

Happy Learning,

T. Scott Clendaniel

🔬 "𝗜𝗳 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗜𝘀 𝗕𝗼𝗿𝗶𝗻𝗴, 𝗜𝘁'𝘀 𝗕𝗲𝗶𝗻𝗴 𝗧𝗮𝘂𝗴𝗵𝘁 𝗕𝘆 𝗧𝗵𝗲 𝗪𝗿𝗼𝗻𝗴 𝗣𝗲𝗿𝘀𝗼𝗻!"

Okay, so Richard Feynman wrote the original quote about Science in general, not about Artificial Intelligence specifically.  So I confess.  I took a wee bit of dramatic license!

But UNILAD captured this fantastic video of Tatiana Erukhimova in here element teaching Physics.

And quite frankly, AI has a lot more possibilities for interactive content!

So no excuses!

And if you need help, reach out to me directly!  🤗 

- T. Scott Clendaniel




🎥 credits UNILAD/ Texas A&M University

JLL - Jones Lang LaSalle - Group Manager Top 50 Most Influential Leaders of 2025

“Our similarities bring us to common ground; Our differences allow us to be fascinated by each other.”

~ Tom Robbins ~

🔬 #AI #Education:
Introducing 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 demo- with 𝗣𝗨𝗣𝗣𝗜𝗘𝗦! 🐶🐶🐶

In the world of AI, Reinforcement Learning is truly a star, and the basis of things like self-driving cars/ autonomous vehicles.

It contains a few elements:

▶  Problem to be solved
▶  An agent, who is observed trying to solve the problem
▶  Reward/ penalty functions
▶  Scoring system

Just like these adorable puppies, who serve as our agents, trying to learn how to reach the treats, our agents try to figure out the problem.  Each puppy's success or failure is recorded, and the reinforcement learning system eventually solves the puzzle!

Enjoy!

T. Scott Clendaniel

🤗 𝗦𝗼𝗺𝗲 𝗚𝗼𝗼𝗱 𝗡𝗲𝘄𝘀- 𝗪𝗮𝘀𝘁𝗲 𝗪𝗮𝘁𝗲𝗿 𝗕𝗼𝘁𝘁𝗹𝗲𝘀 𝗕𝗲𝗰𝗼𝗺𝗲 𝗙𝗿𝗲𝗲 𝗟𝗶𝗴𝗵𝘁𝗶𝗻𝗴!


𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄

Liter of Light is an open source design for a low-cost light tube (or deck prism or vault light) that refracts solar light to provide daytime interior lighting for dwellings with thin roofs. 

Daylighting is cheaper than using indoor electric lights during the day. The device is simple: a transparent two-liter bottle is filled with water plus a little bleach to inhibit algal growth and fitted into a hole in a roof. 

The device functions like a deck prism: during daytime the water inside the bottle refracts sunlight, delivering about as much light as a 40–60 watt incandescent bulb to the interior. A properly installed solar bottle can last up to 5 years.


𝗛𝗶𝘀𝘁𝗼𝗿𝘆

The use of plastic bottles in this way to provide indoor lighting from daylight was developed by Alfredo Moser of Brazil. Using the technology as a social enterprise was first launched in the Philippines by Illac Diaz under the My Shelter Foundation in April 2011. In order to help the idea to grow sustainably, Diaz implemented a "local entrepreneur" business model whereby bottle bulbs are assembled and installed by local people, who can earn a small income for their work. 


𝗥𝗲𝘀𝘂𝗹𝘁𝘀

Within months, the organization expanded from one carpenter and one set of tools in one community in San Pedro, Laguna to 15,000 solar bottle bulb installations in twenty cities around the Philippines, and began to inspire local initiatives around the world. MyShelter Foundation also established a training center that conducts workshops with youth, business companies, and other groups who are interested in volunteering their time to build lights in their communities.

In less than a year since inception, over 200,000 bottle bulbs were installed in communities around the world. Liter of Light had a goal to light up 1 million homes by the end of 2015.

Enjoy,

T. Scott Clendaniel

🔬 𝗠𝗮𝗸𝗲 𝗬𝗼𝘂𝗿 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗖𝗼𝗺𝗲 𝗔𝗹𝗶𝘃𝗲!

The art of surprise will help your learners stay intrigued as you go through your training!


𝗖𝗮𝗻 𝗬𝗢𝗨 𝗳𝗶𝗴𝘂𝗿𝗲 𝗼𝘂𝘁 𝘁𝗵𝗲 𝘀𝘂𝗿𝗽𝗿𝗶𝘀𝗲 𝗕𝗘𝗙𝗢𝗥𝗘 𝘆𝗼𝘂 𝗰𝗹𝗶𝗰𝗸 𝗽𝗹𝗮𝘆?  Tell me in the comments below!

Please make sure to #SAVE and #REPOST so your followers can take advantage of the advice!

- T. Scott Clendaniel

NCS Group

Optimized resource allocation, reducing project overheads by 20%, while maintaining high-quality standards for deliverables.
Implement and oversee data quality standards, ensuring accuracy, consistency, and completeness. Monitor data pipelines & workflows to ensure timely data ingestion, transformation, and delivery for models & insights.
Develop & maintain data quality metrics and KPIs. Collaborate with data teams and stakeholders to identify & rectify data anomalies.
Work closely with Cloud Infra/Ops, Data Engineering & Analytics teams to optimize data processing efficiency.
Monitor data flow integration & automation while fostering collaboration between data, platform and project teams.
Help to accelerate the process of creating data applications & provide real-time data information.
Improve data transparency, allowing for greater team innovation & collaboration, maximizing data quality and reusability. Continuously improve data mgmt. processes & automation to ensure scalability & efficiency.
Streamline data workflows to maximize quality, value, & reduce manual effort. Identify opportunities for process enhancements & implement best practices.
Manages & responsible for OPEX/CAPEX budget for overall Dept.
Work closely with Product & Project Managers to rollout new systems, platforms and initiatives, taking on any new services delivered and ensuring the right support transition model is in place to BAU.
Develop, generate, analyze operational & service performance reports; tailoring and sharing them with a diverse stakeholder group including the IT Senior Leadership Team and our Executive Committee.
Assist the Head of Department in the ownership of all IT OPEX, create queries and dashboards for senior leadership teams.
Utilized continued integration of DataOps principles with Agile, DevOps, ITIL to create a more comprehensive & streamlined approach to data mgmt.
Examine internal IT controls, evaluate & determine exposure to risk, and develop remediation strategies.

Technical Program Manager - Data Platform Management

Reported to the Director and Head of Dept. and maintained strong relation with senior leadership, stakeholders and BAU teams. Manage vendor relations, escalations, service ownership and clients as needed for contracts and licenses which contributed to a 15% increase in internal satisfaction ratings.
Oversaw the deployment of a large-scale warehouse management system, achieving a 50% improvement in inventory accuracy and a 20% increase in shipping efficiency.
Facilitated daily stand-ups, sprint planning, and retrospectives for three Scrum teams, boosting collective output by 25% over a span of four months.
Negotiated and secured partnerships with two enterprise-level clients, directly contributing to a revenue increase of $200k.
Established a continuous feedback loop with product users, which helped prioritize the product backlog and increased customer satisfaction by 30%.
Pioneered a data-driven project decision-making framework that led to a 10% increase in return on investment for key projects across the tech division.
Drove the end-to-end development and release of 3 high-priority mobile application updates, leading to a 60% increase in user retention rates.
Managed a budget exceeding $2M, reallocating funds to critical areas and achieving 90% budget accuracy rate.
Led Scrum teams in delivering high-quality products, improving delivery time by 20%.
Coached teams on Scrum practices, resulting in a 25% improvement in sprint velocity.
Managed project risks and developed contingency plans, enhancing project success rate by 15%.
Implemented continuous improvement initiatives, achieving 95% stakeholder satisfaction rate.
Partnered with Product Owners to deliver MVPs, contributing to a 10% increase in NSV.
Coordinated and facilitated Agile ceremonies, reducing sprint cycle time by 15%.
Led all Scrum-related activities for PODs, resulting in a 30% increase in completion rate.
Spearheaded the planning and execution of Sprints, resulting in a 20% improvement in efficiency.

Technical Project Program Manager (Data Platform Management)

Profusion Systems Inc.

Reported to the CEO & CFO, serving as a liaison across Mobile, Cloud & Infrastructure, and Scrum teams.
Overseeing design and delivery of complex technical projects, implementing Agile processes for scalability.
Collaborating with business partners to identify process improvements, resulting in a 25% reduction in TAT.
Managing cross-functional teams of up to 25 members and help to maintain project plans, budgets, and status reports.
Supervised a team of developers and infrastructure engineers, ensuring high-quality delivery and effective collaboration.
Identified gaps in the team’s structure and began building towards a more comprehensive approach, resulting in a 30% increase in efficiency within 2 months.
Leading end-to-end delivery of multiple complex digital projects resulting in a 20% increase in C-SAT score.
Directed end-to-end project lifecycle, from scoping, planning, executing, to closing, and ensured adherence to project management methodologies and best practices.
Translated client requirements, objectives, and goals into actionable project plans and defined project scope, KPIs, schedule, and budget.
Built and directed a high performing offshore team for India right from scratch resulting in a 30% increase in team productivity. Parallelly worked with Australian and the US teams on day-to-day basis.
Provides strategic direction and takes accountability for requirements, procedures and standards.
Define performance metrics; identify trends, outliers and drivers of outcomes. Develop mitigation strategies for potential problem areas.
Directed the implementation of SaaS solutions for enterprise clients in the financial services industry, resulting in a 23% increase in C-SAT and a 15% reduction in project costs.
Led several implementations (NetSuite, Smartsheet, ERP, etc.) and integration (Power BI, Kentico CMS, etc.) projects effectively.
Facilitated to deliver migration projects within timeline including SSRS to Power BI, Marketo/Twilio to ActiveCampaign, etc.

Technical Project Program Manager

Reported to the COO, serving as a liaison between cross-functional teams including Mobile (iOS/Android), Data Science/ML, Maps/Positioning, and QA/Deployment.
Led a high-performing team of 50+ members in development, data, and deployment domains, collaborating with other departments on a daily basis. Created roadmaps, program plans, and scrum boards.
Led Sprint review and daily Scrum meetings to touch base with the whole team and ensure that all members performed satisfactorily. Partnered with Management, R&D, Product, and Services teams to support decision- making processes.
Took charge of the Operations department, identifying gaps in software development and R&D process flow, leading to the strategies and implementation of a quality control system that improved product accuracy by 15%.
Initiated and supervised cutting-edge projects from inception to delivery, developing structured and automated solutions. Assist with Backlog grooming, User Story development and prioritization.
Successfully led and delivered complex data transformation projects within AWS and Azure cloud environments.
Directed data migration projects involving the seamless transfer of large datasets to cloud platforms.
Demonstrated expertise in program execution related to data initiatives.
Led cross-functional teams to shape, design, and execute data-related projects.
Proficient in change management, ensuring smooth transitions and adoption of new data processes and technologies within organizations.
Developed monthly reports for stakeholders, highlighting performance metrics and KPIs to demonstrate the effectiveness of delivered solutions. Created detailed assessment reports, presenting product efficiency to clients.

Senior Technical Project Manager

Reported to the Head of Engineering and R&D and successfully supervised project deployments and delivered data solutions, contributing to streamlined R&D development process from 1 month to 2 weeks through Agile delivery methodologies.
Set up a calendar and facilitated cadence, agile events, scrum ceremonies and shared measurable outcomes.
Developed milestones and identified project risks, maintaining quality and compliance standards that decreased project backlogs by 20% while monitoring Calibration, Data Capture, and Test Environment processes, and driving continuous improvement efforts for optimal product stability. Improving the workflow by 35%.
Efficiently resolved dependencies and removed roadblocks, resulting in 95% milestone achievement within scheduled timelines.
Applied Machine Learning algorithms, Python and SQL tools in practical settings.
Leveraged STAR and Eisenhower Matrix to prioritize project requirements, resulting in the successful delivery of 5 projects within 3 months, ensuring results were delivered on-time while maintaining an average budget savings of 8-10%. Applied ITIL framework and Service Management effectively throughout the entire service lifecycle.
Utilized cloud-native services and tools for scalable and cost-effective data processing.
Possess a good understanding of Data Warehousing and Business Intelligence concepts.
Leveraged cloud-based Business Intelligence tools like Power BI, Tableau, and DataBricks for data visualization and reporting.
Successfully managed projects dealing with unstructured data sources such as social media data, text documents, and sensor data.
Employed data analytics and performance metrics to analyze project outcomes and make data-driven decisions.
Analyzed data from various sources, including GPS, Wi-Fi, BLE, Magnetics, Adaptive Signal Processing, and Data Fusion. Experienced in writing and refining user stories, ensuring they have clearly defined and testable acceptance criteria.

Technical Project Manager

Mapsted

Reported to the COO and Head of Engineering and R&D, serving as a liaison between cross-functional teams including Mobile (iOS/Android), Data Science/ML, Maps/Positioning, and QA/Deployment.
Successfully supervised project deployments and delivered data solutions, contributing to streamlined R&D development process from 1 month to 2 weeks through Agile delivery methodologies.
Led Sprint review and daily Scrum meetings to touch base with the whole team and ensure that all members performed satisfactorily. Partnered with Management, R&D, Product, and Services teams to support decision- making processes.
Took charge of the Operations department, identifying gaps in software development and R&D process flow, leading to the strategies and implementation of a quality control system that improved product accuracy by 15%.
Monitoring Calibration, Data Capture, and Test Environment processes, and driving continuous improvement efforts for optimal product stability. Improving the workflow by 35%.
Applied Machine Learning algorithms, Python, SQL, and data visualization tools in practical settings.
Assigned tasks, prepared technical documentation, and conducted statistical and quantitative analysis, leveraging hands-on experience with NumPy, Pandas, Matplotlib, and Seaborn for data visualization.
Analyzed data from various sources, including GPS, Wi-Fi, BLE, Magnetics, Adaptive Signal Processing, and Data Fusion. Experienced in writing and refining user stories, ensuring they have clearly defined and testable acceptance criteria.

Engineering Project Manager

SodaInMind

Acted as a liaison between Business Stakeholders, IT application groups, and C-level Executives, ensuring effective communication and alignment of objectives.
Demonstrated leadership skills by leading and mentoring a team of 20 members.
Played a vital role in information dissemination between business branches, stakeholders, and clients.
Developed comprehensive project plans, including scope, WBS, resource planning, and budget, while monitoring workflow and making necessary timeline adjustments.
Possessed a strong understanding of CRM systems (HubSpot & Agile), data transformation, and marketing tools.
Proactively set, adjusted, and tracked project status and milestones, efficiently managing unforeseen delays and realigning schedules as needed. Produced comprehensive reports on application development and implementation.
Hosted daily stand-up and scrum meetings, working with both Waterfall and Agile methodologies.
Skillfully removed roadblocks and collaborated with stakeholders to redistribute workloads using scrum practices.
Analyzed, automated, and managed project risks, resulting in a 25% increase in team productivity through cross-functional collaboration.
Implemented project management best practices, resulting in a 15% reduction in project delays and ensuring efficient project delivery.
Well-versed in utilizing JIRA, CRM, CMS, HRMS, MS Excel, Trello, and other PM tools.
Delivered a total of 17 projects within a span of 2.5 years, achieving on-time phase deliveries and maintaining an average budget savings of 15%.
Clients (in-house): Soda in Mind, RHAD Agency, Metro Group Solutions (SaaS), Carbonate Application (HRMS), Flavor School (CRM / EDM).
Clients worked for (External): Pepperstone, Vault-Intel (acquired by Damstra), Jardine Cycle & Carriage Ltd. (JCCL), Maxus Cars Singapore, Pizza Hut SG, Marine & Offshore, Tadrees Community Application, Property Guru Singapore, Madison Academy of Music, Zylkene Pet, Little Honey Singapore.

IT Project Manager

Decimal Point Analytics

Clearly identify infrastructure goals and project deliverables, ensuring a comprehensive understanding of project objectives.
Lead Project Cost Estimation and Ongoing Budget Tracking: Provides budget information to Project Managers. Assists in developing costs estimates and analyzing data.
Define all necessary activities to successfully achieve project goals and objectives.
Identify and assemble the required team members for the project.
Document and record project plans concisely and clearly.
Identify and assess key risks and limitations within the project plan.
Evaluate and analyze variations between planned and actual project performance.
Oversee project execution to ensure adherence to relevant quality standards.
Collect and present performance information related to infrastructure projects.
Identify potential compliance and regulatory concerns associated with project initiatives.
Assess potential impact on stakeholders, including associates, clients, and shareholders.
Collaborate with subject matter experts throughout the organization to gather comprehensive business requirements necessary to achieve project goals.
Manage changes throughout the project, including schedule, scope, and team membership.
Prepare cost estimates of IT infrastructure.
Foster effective collaboration with infrastructure teams across various business units and management levels.
Identify the root causes of conflicts or disagreements and provide recommendations for resolution.
Capture, prioritize, and resolve project problems in an organized manner.
Accountable to the Project Director and/or key stake holders for the delivery of project.
Proactively manage issues and mitigate risks to enable projects to stay on time, within budget, and with expected scope.
Plan and schedule user’s deployment across India region.
Promoted to IT Infrastructure Lead and managed a team of 7 resources across Mumbai and Nashik division.

Information Technology Infrastructure Team Lead

Possess extensive knowledge of essential network services, including DNS, NFS, LDAP/Kerberos, Apache, NTP, sendmail/postfix/etc., and OpenSSH.
Proficient in building architectures and protocols using 802.3, 802.11, TCP/IP, and UDP.
Demonstrate a deep understanding of GNU/Linux and Windows operating systems.
Skilled in scripting with Perl and/or Python.
Provide guidance on Linux platform architecture and conduct technical research to resolve complex issues.
Serve as a Linux subject matter expert, offering technical leadership across all IT disciplines.
Perform systems administration, maintenance, and engineering in multiple large enterprise server environments, specializing in Linux, Red Hat, and CentOS.
Maintain Linux-based servers, including backup and log file management.
Manage Linux systems, implementing load balancing and failover strategies.
Work in accordance with ITIL principles and adhere to SLAs (Service Level Agreements).

Linux Engineer

WNS Global Services

Promoted to Senior Associate (Data Analyst) for a US client, recognized for exceptional proficiency and expertise in data analysis. Led a team of 7 members to establish the NT24 Business unit in the healthcare domain, resulting in a remarkable 25-28% revenue increase.
Demonstrated effective leadership and project management skills through collaborative efforts across multiple teams, including engineering, internal clients, and vendors.
Assisted the Manager in various report generation, data cleaning, and maintenance of reports and MIS, showcasing meticulous attention to detail and accuracy. Possessed expertise in handling Master files and sensitive data, ensuring data security and confidentiality. Achieved a reduction of 20% in save/load time and 15% operation time.
Chaired virtual meetings essential for delivering projects from concept to reality, following the DMAIC improvement model. Developed and maintained a detailed project schedule for software deliverables.
Proficient in extracting data from databases and transferring it to Excel files, demonstrating advanced data manipulation and data extraction skills. Developed Macros in Excel to automate repetitive tasks, significantly improving efficiency and productivity.
Played a pivotal role in inventory management and data distribution for projects in New York (NY) and New Jersey (NJ), highlighting exceptional organizational skills and a keen understanding of project requirements.

Data Analyst

My designation was Associate (Data Assistant) to help the TL in extracting data from Database to Excel file.
Built Macros for Automation in Excel.
Helped to maintain the Inventory and data distribution for NY and NJ projects.

Data Assistant

Professional Freelancer at Upwork

taplio

The Battle

T. Scott Clendaniel

Himanshu Tamboli

Followers

Posts

Engagements

Likes

Performance ScoreT. Scott Clendaniel's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

T. Scott Clendaniel

Himanshu Tamboli

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}T. Scott Clendaniel's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreT. Scott Clendaniel's LinkedIn Performance