Software Engineering | Machine Learning | Data Science
Based in Binghamton, New York
Data Science and Machine Learning are my fields of passion and I always look for ways to instill scalability and efficiency in them to solve business problems.
Student Performance Predictor Application
• End-to-end application that predicts the student performance based on his/her prior educational and geographic records. The dataset was created synthetically for training and analyzed using seaborn library. • The application was built using Python and trained using a Random Forest model and...
Recommender System for an E-Commerce Application
• A recommender system with applied Ensemble Learning, featuring matrix factorization clubbed with bagging for optimized result • Addressed common challenges for recommender systems such as Cold Start problem, Data sparsity, accuracy, scalability and diversity, time complexity & compute intensity
Prediction of Incidence of Alzheimer’s Disease(AD) using Neural Networks
• Predicting the incidence of AD given his/her health and socio-economic history • Modeled a neural network based on generated polynomial features and strategized optimization to overcome high bias and other accuracy concerns, resulting in 82.16% of CV accuracy