Data Scientist &
Machine Learning Engineer.
Master of Science in Engineering Science (Data Science) student at SUNY Buffalo. Experienced in building reliable predictive pipelines, neural evaluations, and scalable analytics solutions at Nxtwave and TCS. Published IEEE researcher in financial time-series forecasting.
Countdown to May 1, 2027
Preparing, shipping ML models, and ready for Summer 2027 roles.
Featured Projects
Production AI systems, chess neural evaluations, and deep predictive models
CheckmateLab
Real-Time Stockfish 16 NNUE Engine
Real-time chess analysis dashboard powered by Stockfish 16 NNUE with automated opening book detection and deep position evaluations. Developed custom move accuracy scoring and win probabilities.
ClearHire AI
Job Tracker, Gmail Auto-Pilot & Ghosting Risk
AI-powered job application tracker with Gmail Auto-Pilot sync. Features algorithmic "Ghosting" risk estimation based on company reply velocity and automated context-aware email drafting.
Green Grid AI
EV Charging Demand & Location Prediction
AI-based electric vehicle charging demand forecasting and optimal station placement system using temporal, spatial, and demand-driven features across a 17,280-record dataset.
Improving Stock Market Forecasting Using Advanced Time Series Analysis Techniques
Presented at the CVMI-2023 conference and published in IEEE. Developed novel optimization algorithms enhancing prediction accuracy of Holt-Winters and Simple Moving Average models for volatile financial markets.
Writing & Technical Insights
Thoughts on AI engineering, geospatial intelligence, learning habits, and building software
There is an odd sort of guilt that accompanies starting a Master’s degree
How a daily 15-minute GitHub habit changed the way I learn, stay accountable, and navigate the transition into graduate data science studies at SUNY Buffalo.
I Got Tired of Paying for Chess Subscriptions, So I Built My Own Browser Engine
A breakdown of CheckmateLab: integrating Stockfish 16 NNUE, WebAssembly, live ELO tracking, and real-time position evaluations right in the browser.
Unravelling the Impact of Noisy Data on Exploratory Data Analysis
Why real-world data is seldom clean: an analytical dive into identifying corrupted signals, handling outliers, and preserving statistical validity during data exploration.
GeoZapp — EVC India: Tackling Electric Vehicle Range Anxiety
How we engineered an intelligent geospatial solution to discover, map, and navigate EV charging stations across India to support sustainable clean mobility.
Experience & Education
Industry analytics, data engineering, and academic background
Professional Experience
Data Scientist
Nxtwave Disruptive Technologies
- Architected end-to-end analytics and automation initiatives using SQL, BigQuery, and Google Apps Script.
- Engineered executive dashboards and pipelines for admissions, academic, and finance functions to drive operational decisions.
Data Science Intern
Tata Consultancy Services (TCS)
- Conducted exploratory data analysis (EDA) and deployed Python & BI automation pipelines.
- Designed scalable cross-team data visualization reporting dashboards.
Python Trainee (Intern)
National Informatics Center (NIC)
- Contributed to computer vision pipelines identifying, marking, and masking biometric fingerprints in digital documents.
- Applied advanced image processing techniques with OpenCV and built micro-service APIs using Flask.
Data Science Intern
Triyas Tech Solutions
- Conducted EDA on large datasets and engineered preprocessing pipelines using Python (Pandas, NumPy) and SQL.
- Trained and evaluated machine learning models for classification and regression; created interactive reporting dashboards.
Education & Credentials
M.S. in Engineering Science (Data Science)
State University of New York at Buffalo · Buffalo, NY
B.Tech in Computer Science (Data Science)
Bennett University
Technical Arsenal
Core technologies, machine learning frameworks, and analytics stacks
Let's Connect & Collaborate
Available for Summer 2027 Data Science & ML internships, research discussions, and interesting technical projects.