Analyzing NBA team data to find revenue opportunities; where franchises leave money on the table and how data can grow ticket, brand, and sponsorship income.
A relational hospital database with Python + SQL analytics on admissions, readmissions, and costs.
End-to-end bookstore data pipeline built with Python and PostgreSQL, featuring ETL, SQL analytics, NumPy statistics, and Matplotlib, Seaborn, PyWaffle & Folium visualizations.
NLP pipeline analyzing 105k+ job postings to measure the AI-skills hiring explosion (2023-2026), validated against Lightcast/JobLeads benchmarks.
Quantifying information degradation in multi-agent AI systems. An experiment passing prompts sequentially through GPT-4o, Claude 3.5, Gemini, Deepseek, Groq and Llama 3 (Ollama) to measure and visualize semantic drift
Real Estate Market Analysis in St. Petersburg: Exploratory data analysis and insights based on Yandex.Real Estate dataset. Relevant for data-driven decision-making in marketing and management, as well as fraud detection and prevention
An interactive operational dashboard for monitoring manufacturing line metrics, equipment efficiency (OEE), throughput, and real-time factory floor telemetry.
Developed an interactive Power BI dashboard to analyze India road accident data, identifying trends, severity patterns, high-risk states, and the impact of weather and alcohol involvement using data modeling and visual analytics.
Predictive model to forecast daily bike rental demand in Chicago, developed using machine learning techniques on historical data to support data-driven city planning and optimize bike-sharing services.
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