Wallaroo.AI

Senior Sales Engineer, Data Science & Machine Learning

Qlik

● Led technical ML conversations during sales cycles, contributing to multiple 5- and 6-figure
deals and aligning PoCs with business goals.
● Acted as AI strategy advisor from ideation to implementation, accelerating time-to-value.
● Mentored junior engineers, translating academic theory into impactful, real-world data
science applications.

Lead Data Science Engineer

Pythian

● Designed and deployed cloud-based ML solutions with automated MLOps pipelines.
● Facilitated feasibility workshops to assess data readiness and business alignment.

Machine Learning Engineer / Solutions Architect

Stradigi AI

● Consulted on ML adoption and implementation, enabling clients to automate workflows and
derive insights.
● Delivered custom ML prototypes that converted leads into customers.
● Guided clients in feature engineering and data extraction to maximize project impact.

Machine Learning Solutions Architect

Wavemaker

● Lead client facing data science projects, along with data science projects related to internal
operations.
● Partnered with senior leadership and international data teams to data science projects for
global clients

Data Scientist

● Partnered with internal and external business intelligence teams to develop and deliver data
science solutions.
● Applied advanced analytics techniques to extract actionable insights from complex client
datasets.
● Used an array of tools in order to engineer data pipelines from 10+ marketing platforms and
databases for use in data science projects for multiple Fortune 100 clients.

Senior Data Analyst

Harry Rosen

● Leveraged SQL and Python data science packages to mine, clean, and analyze large datasets
across transactions, loyalty, customer, product, and web data.
● Led end-to-end analytic projects in cross-functional teams, collaborating with stakeholders
across departments to deliver actionable insights.
● Created and deployed customer-facing analytics solutions using loyalty and profile data, as
part of a small team managing data and analytics across the entire business.

Data Analyst

Avanade

Analyst

The Hospital for Sick Children

Project Analyst (Co-op)

Ivanhoé Cambridge

Asset Management and Operations Information Intern

University Health Network

Corporate Intranet Analyst (Co-op)

My free data science content beats those you'd pay for.

If you made it this far, you're probably here because you read the tech headlines every day and see AI news flooded everywhere. You then think to yourself, "am I missing the AI train?" 

You already have a lot on your plate, and these AI terms, tech and advancements aren't helping. 

You're told you need data to get ahead with AI, but nobody tells you what kind of data. 

You think about starting an AI team, but everyone's expensive, hiring is hard, and delivering value is even harder. 

You then think to purchase 1 of the 1000 off-the-shelf AI products, but which one? Evaluating them is hard. 

Everything AI seems like an uphill battle. 

I get it. 

I've helped countless business leaders navigate AI, while helping brainstorm use cases that bring companies hundreds of thousands of dollars in value. 

I've helped them understand what is and isn't possible with their data. I also have experience evaluating off-the-shelf AI tools to see if they're delivering what they promised. 

Let's have a video call and chat AI over a coffee. I'm buying.

Akmel Syed

PepsiCo

Mavenir

As part of business modernization for 5G, enabled development and deployment of RAN Intelligence Controller (RIC) platform for tier-1 telco majors to optimize user experience and enhance network performance up to 50%. 
•	Designed and developed reinforcement learning decision models to drive proactive network resource management, increase throughput, and decrease latency.
•	Designed models to leverage 70+ data features including network spatial-temporal traffic patterns, user mobility patterns, service type/patterns, QoS pattern etc.
•	Established model automation pipeline including the data preprocessing, validation, model training causing a reduction of 50% processing time and 60% resource usage. 
•	Drove rapid proof of concept creation for 25 key sites by working with team of data engineers, data scientists, and key client business stakeholders. Worked in an agile environment, with demonstration of frequent value delivery.
•	On-going – Developing Non-RT RIC to enhance quality of experience, along with network resource optimization, and improving energy efficiency up to 10%.

Senior Member Of Technical Staff I, R&D 

QuantumAI

Developed a customized AI-based system for a Seoul based retail chain store to assetize its unstructured data, with focus on CCTV footage data, leading to enhanced customer experience and improved supply chain efficiency. 
•	Designed and developed video analytics model using PyTorch to support business operation improvements in-store and across its supply chain.
•	Provided recommendations based on demographic and in-store user movement data analysis to enhance décor and store layout. Model provides recommendation in tune with products changes and seasonality.
•	Lead a team of data engineers to establish an end-to-end data pipeline for automated data detection, extraction, and manipulation. 
•	Implemented techniques to reduce the model inference time end and reduced latency by 6%.

Senior Research Engineer 

YNG Optics

Conducted exploratory study to determine feasibility of leveraging deep-learning techniques-based image processing systems as replacement for front camera lens in mobile devices. Concept has potential for use in industrial and manufacturing setup with benefits including reduced total cost of ownership and improved reliability in extreme conditions.
•	Coordinated work between the technical research team and business teams, bridging the communication gap and ensuring feature prioritization based on expected business value.

Research Assistant ( Data Scientist ) 

Ghent University

Responsible for investigating, identifying of deep learning architectures suitable for RADAR data analytics with applicability in autonomous vehicles navigation and advanced security systems. 
•	Leveraged deep learning based algorithms as part of interpretability study and demonstrated potential adversarial attack on the model prediction.
•	Identified use of deep learning algorithms in field of medical image processing to deliver faster and precise predictions.
• Teaching Assistant for Informatics and Bioinformatics courses

Stony Brook University

• Teaching Assistant for introductory and advanced Mathematics courses

Teaching Assistant

Sysintelli Inc,

• Created summary tables, listed outputs, and generated ad-hoc reports
• Provided technical support in data analysis and reporting process, and successfully achieved results before project deadlines
• Coordinated on key performance issues with sales team
• Analyzed the data to build and publish reports & dashboards

Mahindra Group

• Developed, implemented, and managed lean and quality programs and procedures for an automobile manufacturing plant
• Generated reports to analyze the competitors and customers by collecting, analyzing, summarizing data and trends to identify the key performance issues

Assistant Manager ( Data Analyst ) 

Data Science || Data Analytics || Machine Learning || Artificial Intelligence || Predicitive Modelling

* Innovative and result-oriented Senior Data Scientist / Subject Matter Expert (SME) / Individual Contributor (IC), with 8+ years of experience in Machine Learning, Deep Learning, Statistical Data Analytics, Predictive Modelling, MLOps, Gen AI with Python, SQL, and Data Visualization. Professional experience spanning clients in US, South Korea, and India.
* Worked with cross functional teams to implement algorithms for proof of concept (POC) to solve network congestion and energy efficiency issues in 5G networks.
* Worked as a Computer Vision and Deep Learning Research Engineer developing algorithms and implementing research papers in deep learning, training and analyzing deep learning models
* Experience developing and testing machine learning and statistical projects, with strong background in supervised, unsupervised, semi-supervised and reinforcement learning algorithms and modelling.
* Graduated from Stony Brook University with a Master of Science degree in Applied Mathematics and Statistics

You can reach me at
✉ gayatriprasad11@gmail.com

Phone : +91-7207081104
https://github.com/gayatriprasad

taplio

The Battle

Akmel Syed

Sai Gayatri Prasad Peri

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