Data Scientist · AI Engineer · Power BI Developer · Prompt Engineer
I turn raw data into ML models, fine-tune LLMs for production, design automated dashboards, and build full-stack solutions — all powered by AI.
What I Do
From raw data to deployed AI — here's what I bring to the table.
Production ML models for forecasting, segmentation, and predictive analytics with real business impact.
Fine-tuning LLMs, building RAG pipelines, and deploying AI chatbots for enterprise use cases.
Automated Power BI dashboards, data storytelling, and real-time analytics panels for decision-making.
End-to-end data pipelines, workflow automation, and ETL systems that run without babysitting.
Building end-to-end solutions — from data backends to web interfaces, using AI to accelerate everything.
Using AI as a force multiplier — from prompt engineering to AI-assisted code, analysis, and content.
Portfolio
Real systems I've built — deployed in production, driving real business outcomes.
Fine-tuned Qwen 3B model for customer service automation with cost-optimized inference. Built with RAG architecture for contextual, domain-specific responses deployed in production.
Time series analysis and ensemble methods for multi-platform sales prediction. Processes data from Blinkit, Zepto, Amazon, and Flipkart to deliver accurate demand forecasts.
Full-stack desktop app that extracts audio from videos, transcribes Hinglish speech to Roman script, handles Devanagari→Latin transliteration, and generates professional SRT subtitle files with precise timestamps. Features smart silence detection, chunked processing, and a one-click GUI.
Python-based optimization engine for inventory allocation across 6 phases (L1-L6) with priority scoring — processing 700+ daily orders automatically.
Clustering-based segmentation models that improved e-commerce campaign targeting, achieving a 73% lift in campaign ROI across major platforms.
Real-time Power BI dashboards for manufacturing metrics and e-commerce analytics, contributing to 12% reduction in machine downtime.
Interactive
Try out these interactive demos — built to showcase data science & AI concepts.
Career
Building production systems across data science, ML, and analytics.
Background
B.Tech — Computer Engineering (Honours in Blockchain)
CGPA: 8.57 / 10.0Connect
Looking for a data-driven problem solver? Let's talk.
Whether you need ML models, LLM solutions, automated dashboards, or a full-stack data engineer — I'd love to hear what you're working on.