My Work
End-to-end machine learning projects. Each case study includes the problem context, architecture decisions, trade-offs, and results.
Featured Work
End-to-end machine learning projects demonstrating data analysis, model development, and real-world problem solving.
CompletedApril 2025 – May 2025
Customer Churn Prediction System
Classification & Business Analytics
End-to-end ML system to predict customer churn and identify business risks
- •Analyzed customer behavior data to identify churn patterns and business risks
- •Preprocessed large datasets by handling missing values and categorical variables
- •Built Logistic Regression and Random Forest models for churn prediction
PythonPandasScikit-learnEDAMatplotlib
CompletedJanuary 2025 – March 2025
House Price Prediction System
Machine Learning Regression
End-to-end ML pipeline to predict house prices using real-world datasets
- •Built end-to-end machine learning pipeline for house price prediction
- •Performed data cleaning, feature engineering, and exploratory data analysis
- •Implemented Linear Regression and Random Forest models with comparison
PythonPandasNumPyScikit-learnMatplotlib
CompletedJune 2025 – July 2025
Handwritten Digit Recognition
Deep Learning Computer Vision
CNN-based system for classifying handwritten digits using MNIST dataset
- •Designed and trained a Convolutional Neural Network (CNN) for digit classification
- •Used MNIST dataset (70,000 images) for training and validation
- •Achieved high classification accuracy through model optimization
PythonTensorFlowPyTorchCNNNumPy