Here are some of the projects I've worked on. You can find more details and other experiments on my GitHub profiles.
Real-Time Manufacturing Process Analytics using Azure Databricks
Developed an end-to-end real-time data engineering pipeline for simulated factory IoT sensors using Azure Databricks and Delta Live Tables (DLT)
Ingested continuous PLC telemetry into ADLS Gen2, applied structured streaming with watermarking to handle time lags, and transformed data across Bronze–Silver–Gold layers.
Created Power BI dashboards (DirectQuery) to visualize production quality and machine health using live Statistical Process Control charts and KPIs.
Reinforcement Learning for Improving Nearest Neighbor Solutions to the TSP
Developed a Deep Reinforcement Learning model (Actor–Critic architecture) to improve heuristic solutions for the Travelling Salesman Problem (TSP).
Trained the RL agent on Google Colab GPU to learn 2-opt-like improvement strategies over Nearest Neighbor tours
Achieved consistent tour-length improvements of around 6% on average compared to the baseline heuristic, demonstrating the ability of RL to learn constructive optimization behavior.
Walmart Sales Data Analysis
Cleaned and modeled transactional retail data; exported to MySQL and executed queries to derive sales trends, peak hours, profit across branches and other business insights.
BookScraper: Robust Web Scraping Tool
Built a Scrapy crawler for extracting books information with rotating proxies and 60+ user-agents via ScrapeOps API; stored cleaned data in MySQL.