kashik User

I'm pursuing an MCA at Lovely Professional University and build end-to-end data solutions, from real-time pipelines to predictive models and interactive dashboards.

I developed an AI-based road accident hotspot prediction system using DBSCAN clustering and Random Forest classification to identify high-risk zones across Indian road networks. I exposed predictions through a Flask REST API and documented the work in a 50+ page academic report with 14 visualizations.

I also built a real-time traffic monitoring system with Kafka, Spark, Streamlit, and HDFS, including live congestion and accident detection dashboards. My dashboard work includes a five-sheet Tableau analysis of Seattle weather data across temperature, precipitation, wind speed, and seasonal patterns.

I use Python, SQL, Tableau, Power BI, and machine learning tools to clean data, analyze patterns, and communicate actionable insights.