CHOWDHURY MD SHAHBAAJ ALAM

Machine Learning Engineer Intern at Codsoft Kolkata

Developed churn prediction models with 86% accuracy using Random Forest and Logistic Regression on datasets >10,000 rows; identified churn drivers and implemented feature engineering and data scaling to support supply chain decisions. Improved spam-filter accuracy by 5% using CNNs and RNNs on 10,000 emails, reducing false positives by 15% and enhancing customer experience. Built a genre classification model predicting 27 movie genres from 100,000+ descriptions with 59% accuracy; engineered 5,000+ text features using TF-IDF and trained models such as Logistic Regression, SVM, Naive Bayes, and Random Forest.