Who I Am
About Me
Data Scientist, community builder and lifelong learner based in Manhattan, New York.
Currently
Pursuing MS in Data Science
Columbia University, NY
My Story
I help machines
learn smarter
Hey there, I'm Ayon Roy, an AI Researcher and MS Data Science student at Columbia University. My current research operates at the intersection of Generative and Agentic AI, where I architect specialized autonomous agents and LLM orchestration designed to streamline complex workflows. By leveraging Knowledge Graphs (AWS Neptune), I translate intricate requirements into technical architectures to accelerate discovery in high-stakes fields like Climate Data Science, though my systems are built for any domain where data meets intelligence.
I served as an Executive Data Scientist at NielsenIQ's Global Centre for Statistical Research and Data Science for 2 years. Prior to that, I served as a Data Scientist in NielsenIQ's India Data Science Business Leaders team working with the biggest FMCG players in the world.
I founded India's 1st & Largest Kaggle Days Meetup community, have mentored and judged 100+ hackathons, and delivered 100+ technical talks worldwide. Having helped 3,950+ people start their Machine Learning journey, I genuinely believe in the power of community learning. I remain dedicated to helping "artificial brains" reach their full potential through adaptive problem-solving and scalable, real-world data strategies.
Value Proposition
How I Play with Data
My expertise spans the full data science pipeline — from problem framing to production deployment.
Predictive Modelling
Regression (Linear, Logistic, Polynomial, Ridge, Lasso), ARIMA & LSTMs for time-series forecasting, ensemble methods.
Computer Vision
Object detection (YOLO), image segmentation, satellite imagery analysis using OpenCV, TensorFlow and PyTorch.
NLP
Text preprocessing, feature extraction, similarity detection, sentiment analysis and transformer-based approaches.
Data Pipelines
End-to-end data gathering, cleaning, feature engineering and model deployment at scale for real customer impact.
Analytics & Insights
EDA, business hypothesis testing, experimentation analysis and storytelling that drives decisions.
Research
Reading, extracting and implementing insights from recent research papers. 4 technical books reviewed.
Looking for a Data Scientist?
If you have opportunities, crazy product ideas, or want to collaborate — reach out. I'd love to chat.