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VedanshMittal20/README.md

Selected work   /   Kaggle results   /   Kaggle profile   /   Get in touch

Vedansh Mittal. Data into models. Models into products. Applied AI, data science, and full-stack development.

Vedansh Mittal

CSE (Data Science) at Chandigarh University. Building from Jaipur, India.

I build machine learning experiments that can be checked, and web products that people can use. My work spans tabular prediction, geospatial intelligence, and full-stack development.

Selected work

A geospatial property valuation platform with spatial validation, multiplicative TreeSHAP explanations, and conformal prediction intervals.

Python / FastAPI / LightGBM / React / Leaflet

Predicting EV purchase intent with feature engineering, additive models, and cross-validated gradient-boosting ensembles.

Python / LightGBM / CatBoost / XGBoost

Best public ROC AUC: 0.94646 · Result record

Reproducible Ames housing experiments with fold-fitted preprocessing, repeated validation, and frozen model ensembles.

Python / scikit-learn / CatBoost / LightGBM

Best public RMSE: 0.11649 · Result record

Kaggle results

Team entries on Kaggle. Public scores and completed placements are labeled separately.

Competition Verified public score Standing
Predicting Electric Vehicle Purchases 0.94646 ROC AUC
Best public
294 / 3,575
Completed · 7 Oct 2026
House Prices: Advanced Regression 0.11649 RMSE
Best public
93 / 3,937
Public · 7 Oct 2026
2026 IEEE Big Data: Traffic Flow Bench 0.85114 Score
Public leaderboard
119 / 351
Public · 7 Oct 2026

What I work with

Modeling & data Products & delivery
Python, pandas, NumPy, scikit-learn TypeScript, JavaScript, React, Next.js
LightGBM, CatBoost, XGBoost FastAPI, Node.js, Express
Cross-validation, feature engineering, ensembles PostgreSQL, Drizzle ORM, MongoDB
Spatial validation, TreeSHAP, conformal prediction Tailwind CSS, Docker, Git, GitHub Actions

More of the work

Relay is a post composer with destination-specific validation, review workflows, and scheduling. StudyFlow brings assignments, Kanban boards, and focus sessions into a student planner.

Earlier work includes traffic and road safety modeling, Indian Kitchen, and web development during my HabiGo 360 internship. I also explore LLM APIs and workflow automation through my personal N.O.V.A experiments.

Recently shipped

Explore all repositories.

A little beyond the code

I enjoy The Finals, Forza Horizon 5, and road trips around Rajasthan. My learning includes NVIDIA prompt engineering and IBM generative AI coursework.


Open to internships, applied ML projects, and thoughtful collaborations. Get in touch.

11 public projects · primary languages by repository: Python 5 · TypeScript 2 · JavaScript 2
Projects checked 10 Oct 2026. Standings retain their own verification dates.

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