Ayon Roy — Data Scientist

I love to explore how a MACHINE is LEARNING and how can I use my adaptive problem-solving skills to help the ARTIFICIAL brains boost their INTELLIGENCE thus helping to mitigate climate crisis concerns. 📌 Why? Contributing to the success of data strategies where I can learn, experiment with a lot of DATA as a SCIENTIST is my goal. Using Data skills for Climate protection is fun. 📌 Where to find me? During weekdays, you will find me studying Data Science at Columbia University & on weekends you will find me at Hackathons, Meetups, Conferences; because I believe in Community Learning. 📌 Anything I did for the community? I take pride in starting India's 1st KAGGLE Days Meetup in Delhi NCR. I had the opportunity to drive an initiative helping 3950+ people learn ML together in 100 Days & also mentored 100+ hackathons, delivered sessions at 100+ Conferences/Meetups across India, USA, etc. in physical/virtual mode. 📌 "So what? Where do I fit in for you?" With huge growth of DATA in 2026, you need a person who can extract what Data speaks! Well, I am really good in playing with data. Let's talk ✨ 📌 "What will you get if you connect with me?" During our conversations, we might come across certain unfounded insights together from the Data that drives & impacts growth for your problem statement / organization. In short, the real essence of DATA as required in 2026! 📌 "How do I play with DATA exactly?" ✔️ Working with Regression Algorithms (Linear, Logistic, Polynomial, Ridge, Lasso). ✔️ Working with ARIMA and LSTMs for time-series forecasting. ✔️ Working on data gathering pipelines. ✔️ Working with technologies like Scikit-learn, Pandas, Numpy, Keras, OpenCV, PyTorch. ✔️ Building mathematical models for COMPUTER VISION, Natural Language Processing [ NLP ]. ✔️ Reading and extracting insights from RESEARCH papers. ✔️ Writing clean & understandable code. 📌 Anything else? You name it, I got it! And if I haven't done it before, I learn & try to deliver the best results to you :) If you're looking for something specific. Let's connect and discuss things over. Looking for a connection who can help you as a DATA SCIENCE, AI/ML INTERN with RESEARCH mindset? Want someone to give your VISION the perfect GROWTH trajectory using DATA? SHOOT ME A MAIL: ayon.roy@columbia.edu VISIT MY TINY WORLD on WEB: https://ayon-roy.netlify.app Happy Learning! If talks about Data/ Dog/ Climate interests you, let's connect. Aren't they great conversation initiators? 🤩 Thanks for your time to read my ABOUT section and it was so awesome to e-meet you 🤩

Stackforce AI infers this person is a Data Scientist specializing in Climate Tech and Retail Analytics.

Location: New York, New York, United States

Experience: 4 yrs 4 mos

Skills

Data Science
Machine Learning

Career Highlights

Developed AI agent for climate research.
Led India's first Kaggle Days Meetup.
Applied ML techniques for retail market insights.

Work Experience

Columbia Engineering

Graduate Teaching Assistant (4 mos)

Neurotech X Columbia

Vice President (4 mos)

Columbia University

Graduate Research Assistant (8 mos)

NielsenIQ

Executive Data Scientist (2 yrs)

Data Scientist (2 yrs)

Internshala

Data Science Intern (6 mos)

LuLu International Exchange

Data Science & Software Engineering Intern (1 yr)

Mate Labs

Summer Intern (1 mo)

Education

Masters Of Science at Columbia University

Bachelor of Technology at A State Govt. University in India

Ayon Roy

Data Scientist

New York, New York, United States4 yrs 4 mos experience

Highly Stable

Key Highlights

Developed AI agent for climate research.
Led India's first Kaggle Days Meetup.
Applied ML techniques for retail market insights.

Stackforce AI infers this person is a Data Scientist specializing in Climate Tech and Retail Analytics.

Contact

Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Knowledge GraphsLLM orchestrationDeep LearningPythonData AnalysisData VisualizationC++C (Programming Language)GitMySQL

About

Experience

4 yrs 4 mos

Total Experience

4 yrs

Average Tenure

4 mos

Current Experience

Columbia engineering

Graduate Teaching Assistant

Jan 2026 – Present · 4 mos · New York, United States · On-site

Assisting the students enrolled in the course "Foundation of Climate Data Science" in Spring 2026 for Earth and Environmental Engineering

Neurotech x columbia

Vice President

Jan 2026 – Present · 4 mos · New York, United States · On-site

Serving a student-run academic society at Columbia University focusing on Brain–Computer Interfaces (BCI) and NeuroAI (the intersection of neuroscience and artificial intelligence).
As a community, the aim is to connect students and researchers who are passionate about advancing neurotechnology and AI.

Columbia university

Graduate Research Assistant

Sep 2025 – Present · 8 mos · New York, United States · On-site

My research focuses on the intersection of climate science and Generative AI. Specifically, I am developing a specialized AI agent designed to streamline the workflows of climate researchers. Leveraging my skills in Data Science, Knowledge Graphs (AWS Neptune), and LLM orchestration, I am building a system that helps researchers navigate vast climate datasets and literature in a structured, automated manner. My role involves translating complex research requirements into technical AI architectures to accelerate discovery in climate modeling and sustainability.

Data ScienceKnowledge GraphsLLM orchestrationMachine Learning

Nielseniq

2 roles

Executive Data Scientist

Promoted

Aug 2023 – Aug 2025 · 2 yrs

As a part of the Global Product ( Center of Statistical and Data Science Research ) team, I apply Machine Learning (ML) and Deep Learning (DL) techniques on Satellite Imagery and Tabular Data working on exciting internal NielsenIQ's R&D methodologies to optimize processes for estimating the retail market in 100+ NielsenIQ's covered countries.
My major responsibilities include brainstorming and developing advanced methods for teams across Europe, GCC, APAC, and other regions, while focusing on increasing efficiency in processes for NielsenIQ's retail market estimations as we use ML techniques to understand land use in different countries and then couple satellite image data with external sources to predict store counts at a granular level, providing accurate retail market insights.

Machine LearningDeep LearningData SciencePython

Data Scientist

Aug 2021 – Aug 2023 · 2 yrs

As a part of the India's Product ( Data Science Market Leader ) team, I worked with top consumer packaged goods (CPG) and Fast-Moving Consumer Goods (FMCG) manufacturers from various categories such as Soft Drinks, Chocolates, and Biscuits.
I got the opportunity to analyze and measure retail sales data for leading FMCG companies. And then develop stories, hypotheses to provide actionable insights and a full view of consumer behavior reflecting market trends.
I also delivered insights and solutions to help manufacturers better understand consumers and make informed business decisions in the competitive India's FMCG landscape.

PythonMachine LearningData Science

Internshala

Data Science Intern

Jan 2021 – Jul 2021 · 6 mos · Gurugram, Haryana, India · Remote

The Data Science team of Internshala works mainly on monitoring as well as analyzing the product's core metrics & also setting up experiments for testing business hypotheses; applying data analysis to monitor experimentation results and provide recommendations to business and stakeholders of the world-class internship & online training platform which is currently being used by 5 million+ students and 1 lac+ employers.

PythonMachine LearningData Science

Lulu international exchange

Data Science & Software Engineering Intern

Jan 2020 – Jan 2021 · 1 yr · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates · Remote

As a Data Science Intern, I analyzed transactional records for the multi country corridor operations in Qatar, Singapore etc.
As a Software Engineering Intern, I worked on the integration of a few Partner Banks using Java, SpringBoot, Microservices( RESTFul APIs ), Docker etc.

PythonMachine LearningData Science

Mate labs

Summer Intern

Jul 2019 – Aug 2019 · 1 mo · Bengaluru, Karnataka, India · On-site

Explored the domain of Auto ML and got my hands dirty with some real world use cases. Participated at In-House Kaggle Competition there to sharpen my skills in ML. Also helped in developing content for use cases.

PythonMachine LearningData Science