Eisai US

Assoc Director, Commercial, Omni Channel

Bayer

Sr Analytics Lead - Consumer Health, Commercial Ops, North America

Daugherty Business Solutions

Lead and support various fortune 500 clients with data strategy, visualization, kick start data initiatives and solutioning for the most critical business problems.

Data Solutions Lead

Asembia

► Hired to drive data transformation, modernize and upgrade legacy technology stack, improve process efficiencies, perform P&L analysis, provide strategic vision and direction for teams.

► Established a newly formed data analytics team, overseeing data management and analytics on behalf of the company’s Healthcare clients.

► Named as a Finalist of the Women in IT Awards 2018 (USA) in the Data Leader of the Year category.

Director, Enterprise Data Solutions and Strategy

Delta Dental of New Jersey and Connecticut

► Founded an in-house software development function for the New Jersey unit. Formed an Agile/Scrum development team, trained on Agile software delivery and release practices, and managed multiple concurrent projects.

► Lowered costs and improved strategic partnerships by examining outsourced vendor relationships supporting enterprise claims processing.

Product Manager

IMS Health

► Responsible for leading inhouse and outsourced data operations teams, directing projects to build business intelligence dashboards, data visualizations, and related analytics for large volumes of data. 

► Projects included the administration of the end-to-end SDLC budget of a $2MM formulary data project. Excessive knowledge of IMS data sets like Xponent, PlanTrak and FIA.

Sr Manager, Managed Care Analytics

CSG International

► Led the development of cost-effective solutions in accordance with Agile methodologies, working as a liaison between business and technical teams.

Technical Lead/ Product Owner

Leading Data Teams | Public Speaker | Author of "Thriving in a Data World" Book | Healthcare and CPG Data Strategies | Transforming Numbers into Compelling Stories

Data Analytics Leader with extensive experience in big data analytics, product management, software development engineering and cross functional team leadership. Skillfully leverage blend of business, data and technical knowledge to solve complex business problems and develop data products to automate workflows, improve accuracy and generate cost savings.

Established data analytics teams from the ground up to offer self service reporting and grow profitability of data solutions.

Recognized as a Finalist of the Women in IT Awards 2018 (USA) in the Data Leader of the Year category.

Notable Specialties and Experience:

•	Data Strategy and Big Data Analytics
•	Product Management
•	Business Intelligence and Visualization 
•	Team Leadership 
•	Manage P&L
•	Healthcare, Life Sciences, Supply Chain, Insurance and Billing 
•	AWS and other cloud products
•	Operational excellence
•	Vendor Management
•	Data technologies and Coding 
•	Speaker
•	Book author 
•	Content writer

Sangeeta Krishnan

IndiaLends

Developed and optimized 13 product funnels in SQL for personal loans, identifying key drop-offs and achieving a 15% increase in offer selection rate.

Worked directly with Product Managers, partnering with developers and tech teams to troubleshoot and resolve API issues, reducing rejections by 17%. Supported backend improvements for CRM automation, boosting accuracy by 20%.

Conducted extensive testing on 30+ APIs with Postman, resolving inconsistencies for 5 major lender integrations and documenting processes to streamline troubleshooting by 40%.

Built 8 Clevertap funnels to analyze offer page interactions, improving offer selection by 8%.

Maintained MIS reports with 99% accuracy, coordinating with Growth and Tech teams to resolve data inconsistencies.

Analyzed 60000+ loan disbursals, identifying top rejection reasons and advising on updates that boosted disbursals by 12%.

Consolidated 15+ lender API data sources, reducing data retrieval time by 30% for efficient reporting.

Product Analyst Intern

Leadle

• Wrote SQL queries to extract data from databases efficiently. Developed, maintained, and optimized SQL Queries and stored procedures.
• Collaborated with RevOps team and maintained live prospects dashboard on Google Looker Studio, connected with Google Sheets
• Prepared and cleaned data for analysis, including data normalization, aggregation, and transformation. (SQL, Excel and Tableau)
• Ensured accurate data by performing thorough validation and quality checks. Worked together with business and data teams to comprehensively grasp the data requirements and objectives.
• Leveraged the power of data visualization using sophisticated tools like Tableau to create captivating and informative reports and dashboards. Presented the findings to stakeholders in a visually engaging and interactive manner, unleashing the full potential of data-driven insights. Translated complex data into clear and understandable visual representations.

Data Analyst

5X your AI & Data Science skills. Get free AI guides and resources ⬇️

I like writing about Data. 

Working as a Product Analyst in a Fintech startup.

I've started writing on LinkedIn from 2023 as part of my job search. 

(Then it became addictive!)

This platform became a powerful aid in my growth journey.

I'm fortunate to meet some amazing people via LinkedIn.

I write about my learnings and opinions on Data career.

Enquiries/Collab: contact.leonjose@gmail.com

Leon Jose

Stanford’s AI Paper Everyone’s Talking About.
You’ll wish you read this sooner.

Have you ever tried to understand how Artificial Intelligence really works?

It sounds exciting, but most explanations are too complex.

Many people know the terms - AI, ML, Deep Learning.

but not what they truly mean..

Stanford recently published a paper that explains it in simple words.

It shows how machines learn, make choices, and improve with data.

No complex math. No jargon. Just clarity.

It’s based on the same Stanford ideas but written for beginners.

Steve makes it easy to see how AI actually works in the real world.

You’ll learn:
➙ What AI and ML really mean
➙ How they work together
➙ Why every company is using them
➙ How you can apply this knowledge in your own work

Read it before everyone else does.

👉 Follow gotspeed to grow your AI skills
♻️ Repost the guide


#ai #stanford

Product @SaveIN | AI | FinTech | Analytics

AI Explained - Stanford Research Paper

Only 1% are building these projects
20 ideas that can change your AI career

If you’re trying to break into the world of AI tools, agents, and automation
you don’t need another course.

That’s what separates people who just consume AI from those who actually create with AI.

But here’s the problem.. most beginners don’t know where to start.

I’ve found an amazing guide by Bhavishya Pandit for Gen AI projects.

It’s a curated list of hands-on project ideas designed to help you:
Learn by doing
Build your first AI-based product
Strengthen your portfolio
And stand out in the AI job market

Each project idea is simple enough to start today.


👉 Follow gotspeed to grow your AI skills
♻️ Repost the guide

#GenAI #ai #interview

GenAI Projects

15 GitHub repos you never saw coming.
Before they disappear into private access.

Building AI agents is exciting.
But it’s also overwhelming.

Where do I start?
How do I find reliable resources?

Luckily, I've found this guide by Om Nalinde with 15 essential GitHub repositories.

Each repository will help you:
➙ Understand how AI agents think and act
➙ Build your first working prototype
➙ Experiment with frameworks like LangChain, AutoGPT, and CrewAI
➙ Learn how tools like memory, planning, and retrieval really work

If you’ve ever wanted to build your own AI agent,
this list will save you weeks of confusion and trial-and-error.

I’ve attached the full guide in this post.

Pick one repository today and start building.

Small consistent progress compounds faster than you think.

👉 Follow gotspeed to grow your AI skills
♻️ Repost the guide


#ai #github #aiagent

Best Github Repos for AI Agents

They’re wasting millions on LLMs.
You don’t have to.

Building with LLMs is exciting, until the bill hits.

Most teams start small but end up paying 5x more than they should.

Why? Because they optimize features, not costs.

Bhavishya Pandit created a free PDF guide that breaks down how to cut your model expenses without losing performance.

Here’s what you’ll learn inside:
⟶ How to use caching to save 40% instantly
⟶ Why token limits can silently drain your budget
⟶ The right balance between model precision and cost
⟶ Smart batching strategies for high-volume prompts
⟶ How prompt compression and distillation reduce usage
⟶ And 10+ practical methods real teams use to stay lean

These strategies aren’t theory. they’re used by developers running real AI products.

👉 Follow gotspeed to grow your AI skills
♻️ Repost the guide


#ai #llm

taplio

The Battle

Sangeeta Krishnan

Leon Jose

Followers

Posts

Engagements

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Performance ScoreLeon Jose's LinkedIn Performance

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taplio

The Battle

Sangeeta Krishnan

Leon Jose

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);}Leon Jose's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreLeon Jose's LinkedIn Performance