About Me
Data & Business Analyst with an MCA from Tezpur University (Central University, CGPA: 7.99) and hands-on experience as a Data Science Intern at NIELIT, Govt. of India, working across SQL, Python, Excel, Power BI, and Tableau to analyze data, build dashboards, and turn insights into decision-ready recommendations. Built and deployed a machine learning regression model on 19,000+ real-estate records that cut agent-led overpricing by 15%, and a real-time analytics dashboard that improved user retention by 20%. Experienced in requirements gathering, business case development, technology assessment, and stakeholder communication, with a strong track record of data storytelling and business reporting for both technical and leadership audiences. Adaptive learner with a strong work ethic, attention to detail, and effective cross-functional and client collaboration; open to full-time Business Analyst, Data Analyst, and Data Science roles.
Skills & Technologies
Work Experience
Data Science Intern
Built AI translation engine using NLLB-200 and LoRA adapters for 8 languages on Flask API; developed a CBT exam platform using React and Supabase with anti-cheat features and Python sandbox. Created admin analytics dashboard for student and batch management and taught Advanced Excel, Power BI, and SQL batches while delivering weekly data storytelling insights to stakeholders.
Projects
NIELIT Smart Bridge — AI Translation & Exam Platform
Built a neural translation engine using NLLB-200 + LoRA adapters for 8 languages with 8-bit quantization and LRU caching on a Flask API. Developed a CBT exam platform (React + Supabase) with anti-cheat features and a Python sandbox via Pyodide WebAssembly. Created an admin analytics dashboard for student and batch management and delivered weekly stakeholder insights through data storytelling.
Gurgaon House Price Prediction
Analyzed 19,000+ Gurgaon property listings to detect agent-driven overpricing of 10–20%. Engineered features and tuned XGBoost and Random Forest models deployed via a web interface, reducing overpricing by 15% and saving buyers up to ₹10 Lakhs per transaction across 500+ valuations.
Weather Intelligence & Climate Analytics Platform (WICAP)
Designing and building an enterprise-grade end-to-end weather and climate analytics platform with data ingestion, ETL, warehousing, and interactive dashboards. Architecting a data pipeline with data quality framework and building dashboards for trend, seasonal, and anomaly detection, filterable by geography, date, and metric.
Education
MCA
Computer Applications
BCA
Computer Applications