Customer Churn Analysis
In this Project, I have used PowerBI, SSMS(SQL) and Jupyter Notebooks(Python).
Customer Churn Analysis
Machine Failure Prediction
Project
Developed an end-to-end machine learning pipeline to predict equipment failures using real-world industrial data. The project involved comprehensive data analysis, preprocessing, model training, and evaluation to identify the most accurate predictive model for preventive maintenance.
Traffic Control using AI
(SUMO)
Developed a reinforcement learning-based traffic control system using SUMO (Simulation of Urban Mobility). Simulated realistic traffic scenarios, optimized traffic flow using machine learning models, and analyzed results using metrics like average wait time, queue length, and cumulative delay. Strengthened skills in Python, AI, and traffic simulation.
Social Media
Analytics
Currently in Development
Project
4
Currently in Planning Stage
Project
5
Currently in Planning Stage
Project
6
Currently in Planning Stage