Hi, I'm
A data scientist with a background in electronics and communication engineering. I work across Python, data analytics, machine learning and signal processing, and I design interfaces that make the results clear and easy to use.
Five things I built and shipped, each running live. Hover a preview to scroll through the real site.
Interactive ML course
Learn ML by building it, not memorising it.
24 chapters of classical machine learning as an explorable map, study route, flashcards and a Python-style console. You write each algorithm in plain NumPy, then check it against scikit-learn.
Physics research with SINP
A neutron's acoustic signature versus a gamma ray's.
My thesis work for a superheated-liquid dark-matter detector: pulse localisation, STFT features, and logistic regression and SVM written from scratch. Drop in a waveform and it classifies it in your browser.
Data analytics dashboard
Washington State's electric vehicles, in one dashboard.
Every number, chart and written insight is calculated in the browser from the raw CSV, so a newer data export updates the whole site with no code changes.
LLM agent for CAD drawings
Measured, not guessed.
Ask building plans, distribution boards and circuits anything in plain English. Deterministic tools measure every number from the DXF, and hybrid search cites the exact spec clause for pass or fail checks.
Retrieval-augmented Q&A
Ask the document, not the internet.
Upload a PDF and get answers grounded only in its most relevant passages. Parsing happens in the browser, and embeddings live in Netlify Blobs, so there's no external vector database.
Computer vision, robotics and AutoML experiments, plus hackathon work.
Industry data science, physics research, and a master's degree in robotics running alongside both.
Calsoft Inc.
Indian Institute of Technology Guwahati
With the Saha Institute of Nuclear Physics
Saha Institute of Nuclear Physics
Calsoft Inc.
RCC Institute of Information Technology
Six areas I work across. Hover or tap a panel to open it.
Classical ML from scratch, SVMs, logistic regression, AutoML pipelines and careful model validation.
YOLOv8 detection, OCR, stereo depth estimation, and image and video pipelines.
RAG systems, tool calling, and LLM-assisted feature selection and error correction.
STFT feature extraction, pulse localisation and physics-grade classification.
Cleaning messy real-world data, exploratory analysis and dashboards that drive decisions.
Interactive web dashboards, in-browser ML, Flask apps, and deployments on Netlify and Vercel.
Whether it's a role, a research collaboration or a question about my work, I'd be glad to hear from you.
I'm open to opportunities in data science, machine learning and analytics, as well as research collaborations and roles in education. Email is the quickest way to reach me.
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