

Innovative Computer Engineer with a proven track record of delivering impactful data solutions over 2+ years. Proficient in Python for data manipulation and analysis, with a keen understanding of statistical modelling and machine learning. Proficient in the design and implementation of data pipelines, ETL processes and database optimization. Seeking a role that allows me to apply diverse project experience to contribute innovative solutions in a dynamic data-centric environment.
Smart Parking Management System
· Developed a MATLAB-based Smart Parking Management System using logical functions, demonstrating expertise in optimizing parking infrastructure. Implemented a user-friendly Simulink program for real-time monitoring and immediate parking availability updates
Predicting Customer Churn Rate
· Predicting the Customer Churn rate in a bank using different statistical methods like SHAP( SHapely Additive exPlanations), RandomSearch, GridSearch, etc.
Prediction of Selling Price for different Products
· Implemented a pricing model using machine learning algorithms such as GBM, XGBoost, Random Forest, Neural Networks for a retail dataset, resulting in increase in revenue by strategically designing customer-specific offers.
Forecasting in Health Informatics
· Created a predictive health informatics model employing Neural Networks,integrated into an Android app for disease forecasting,offering a technological solution for early diagnosis of Malaria,Dengue, and Meningitis.