Abhishek Nigam

Business Opportunity Recommendation System

Performed exploratory data analysis, data cleaning, preprocessing, and visualization using Pandas, NumPy, and Matplotlib to prepare business data for predictive modeling. • Built and evaluated a Scikit-learn Logistic Regression model achieving 95% accuracy for business success prediction. • Integrated model predictions into a Flask application to generate data-driven recommendations and user-facing insights.

Pneumonia Detection & Analysis App

Preprocessed chest X-ray data and implemented a classification workflow in Python, achieving 92% accuracy. • Evaluated model performance using Precision, Recall, ROC-AUC, and Confusion Matrix to validate analytical results.