Data Analyst | Built pipelines on datasets from 50K to 25M+ rows | 8-page Power BI dashboards | 200+ SQL problems solved, 150+ LeetCode | Turning raw data into decisions
Rajrambapu institute of technology
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Download Tal BossData Analyst | Built pipelines on datasets from 50K to 25M+ rows | 8-page Power BI dashboards | 200+ SQL problems solved, 150+ LeetCode | Turning raw data into decisions
I'm a final-year Computer Science student specialising in AI/ML — focused on one thing: taking messy, real-world data and building something useful with it. That's meant building PrivacyLens — a privacy intelligence dashboard scoring 10,000 websites using live WhoTracks.me tracker data, a DuckDB backend, and a Groq-powered AI chatbot. Designing a pharmacovigilance signal ranker that processes drug safety data the way regulatory agencies like the FDA actually do it. Running EDA on 7.7M US accident records to find that 76% of accidents happen in clear weather — not rain or snow. And building Python-SQL dashboards that connect live databases to real analytical decisions. Each project pushed me through the full pipeline: cleaning data that's never clean, asking the right question before writing a single line of code, and presenting findings in a way that makes sense to someone who isn't looking at the same screen as you. My stack: Python · SQL · Pandas · Streamlit · Plotly · DuckDB · Power BI · Tableau · Docker · Groq API · Git Currently sharpening SQL and DSA daily for analyst and engineering interviews. 📂 github.com/Precipitation-Rain 📊 kaggle.com/shambhushewale Open to internships and entry-level roles in Data Analytics, Data Science, or ML Engineering — 2026/27.
India
Rajrambapu institute of technology