Maanav Shivani

I've built data analysis projects that turn complex datasets into clear, actionable insights. In my IPL analysis, I cleaned and structured 15 years of batting and bowling data, applied qualifier thresholds, and created a composite MVP metric for Orange Cap and Purple Cap winners.

For a macro market analysis project, I built a unified PostgreSQL time-series database spanning commodities, equities, and bonds. Using Python, Pandas, and Jupyter Notebooks, I processed daily market data, calculated moving averages, and analyzed silver's correlations with Gold, the S&P 500, and 10-Year Treasury Yields.

As Tech Head at Nirman, I manage a team of 15+ members, hosted a speaker session for 100+ attendees, and led a Canva design workshop. My background in photography, filmmaking, and video editing helps me communicate analytical findings in highly visual and appealing ways.

I'm currently pursuing Mathematics Honours at Dyal Singh College, University of Delhi, with coursework in multivariate calculus, numerical analysis, and elementary real analysis.