At Rochester Institute of Technology, I analyzed and cleaned datasets using Python, Pandas, and NumPy, then used exploratory data analysis and visualizations to surface trends and insights.
As a Data Visualization Intern with SAINT LOUIS UNIVERSITY, USA, I created visualizations with Python and Matplotlib and presented findings through charts and dashboards. At TechnoHacks Solutions Pvt. Ltd., I developed regression models and built and evaluated classification models, including Logistic Regression with L1 and L2 regularization.
On my Medical Insurance Cost Prediction project, I built a model to predict insurance charges and evaluated Linear, Lasso, and Ridge models using R², MSE, and cross-validation. I work with Python, Java, SQL, and machine learning tools including Scikit-learn, TensorFlow, and PyTorch.
