At AtliQ Technologies, I analyzed business datasets with Python, Pandas, SQL, and Excel, and built three Power BI dashboards for stakeholder KPI tracking. I also automated data preparation and reporting workflows, cutting manual reporting time by ~40%.
For my Urban Mobility Intelligence project, I built a streaming pipeline that processes ride-hailing events with Python, Kafka, and Spark Structured Streaming. I stored processed metrics in Supabase PostgreSQL and created a Streamlit dashboard for real-time trends and operational insights.
I built WatchNext, a movie recommendation app using content-based filtering and cosine similarity, and integrated the TMDB API for movie details. I processed and cleaned metadata for 5,000+ movies using Pandas and NumPy.
In Business Insights 360, I created a six-view Power BI dashboard covering finance, sales, marketing, supply chain, and executive reporting. As a Financial Analyst Intern at INTERNBOOT, I developed Excel valuation models and supported investment evaluation with financial statement analysis and market research.
