Freelance Projects
Enterprise Customer Churn or Retention Analytics Platform
Business Impact Summary:
Developed a production-ready machine learning web application that predicts customer churn for telecom companies with 99%+ accuracy. Built an end-to-end MLOps platform featuring real-time predictions, automated deployment, and comprehensive data analysis to help businesses proactively identify at-risk customers and implement retention strategies. The application combines advanced machine learning algorithms with modern web technologies and cloud infrastructure for scalable, reliable performance.
Agricultural Disease Detection System
Business Impact Summary:
Developed a robust deep learning application to classify potato leaf diseases from image data, empowering farmers and agricultural professionals with early detection and effective disease management. This project leverages advanced computer vision and neural network techniques to streamline the identification of common potato diseases (such as early blight and late blight) from uploaded images, providing fast and accurate results for practical field use.
Financial Risk Assessment & Credit Scoring Platform
Business Impact Summary:
Developed a machine learning application that predicts loan approval outcomes based on applicant data, assisting financial institutions with risk assessment and streamlined decision-making. Leveraging advanced data processing techniques and predictive modeling, this project automates the evaluation of loan applications using key financial and demographic features, providing rapid and reliable approval predictions for practical business use.
Luxury Stones Market Valuation Engine
Business Impact Summary:
Developed a machine learning project designed to estimate gemstone prices based on their characteristics such as carat, depth, table, dimensions, cut, color, and clarity. The project features a complete data pipeline, from data ingestion and preprocessing to advanced model training and deployment.
Real Estate Investment Analytics System
Business Impact Summary:
Developed a machine learning web application designed to estimate house prices in the Boston area based on multiple property features. Leveraging regression techniques and an ensemble of advanced models (including CatBoost, XGBoost, and KNN), this project guides users through predicting home values by inputting relevant attributes such as crime rate, number of rooms, tax rate, and more.
Clinical Decision Support System for Cancer Screening
Business Impact Summary:
Developed a deep learning application that predicts breast cancer from medical data, assisting healthcare professionals with early diagnosis and effective patient management. Leveraging advanced machine learning techniques and neural networks, this project streamlines the process of identifying the likelihood of breast cancer based on clinical features, providing rapid and accurate predictions for practical healthcare use.
Educational Analytics & Performance Optimization System
Business Impact Summary:
Developed a machine learning-based application to predict student academic performance, enabling educators and institutions to identify at-risk students early and implement targeted interventions. By leveraging advanced data analytics and predictive modeling, this project streamlines the evaluation of student outcomes based on a variety of academic and socio-demographic factors, facilitating data-driven decisions for improved educational management and student success.