Shivansh Hingve

I'm a Data Science graduate (B.Tech, AI & ML) who works across the full stack from statistical dashboards to applied ML and LLM systems. I've built Power BI dashboards including a Loan Analysis dashboard (38,576 records), an Air Quality Analytics dashboard (29,531 readings, 26 Indian cities), and an IT Expenditure dashboard using DAX-driven variance analysis.

On the ML/LLM side, I built a RAG document-analysis system using LangChain, FAISS, and a local LLM, achieving over 90% relevance on benchmark queries, and fine-tuned GPT-2 for an NLP classification task, improving F1 score by 22%. I'm also an open-source contributor to Binance Skills Hub, where I built a Market Anomaly Detection skill using z-score analysis, on public Spot and USD-M Futures data to flag unusual crypto market activity — essentially framing a statistical anomaly-detection problem as an agent-ready skill.

I've also worked on Coca-Cola sales performance analysis in Excel and NLP sentiment analysis on ~200,000 app store reviews. Through my Data Analytics (AICTE-EduSkills x Alteryx SparkED) and ML internships, I've automated data-cleaning pipelines and improved model prediction accuracy. I work in Python, SQL, PyTorch, Hugging Face Transformers, Power BI, and Alteryx, and I'm looking for entry-level Data Scientist roles where I can apply both statistical rigor and applied ML/LLM skills to real business problems.