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assembly-line-production-optimization

Repository for a project focused on optimizing assembly line production for two product types. Utilized a linear optimization model and IBM ILOG CPLEX to maximize profits, accommodating workforce limitations and production requirements.

bike-sharing-trends

This GitHub repository hosts a bike rental demand prediction project. It utilizes Python libraries for data analysis and builds regression models to forecast demand based on various attributes. The project covers data preprocessing, exploratory analysis, and model evaluation.

body-fat-prediction

This repository predicts body fat percentage using Lasso and Ridge regression models. It compares their accuracy and performance metrics, offering detailed code and model evaluations in the Jupyter Notebook.

breast-cancer-gene-expression-analysis

This project repository comprises an exploratory data analysis (EDA) of the "Breast Cancer Gene Expression Profiles (METABRIC)" dataset, employing Python libraries for data manipulation and visualization. It includes data loading, preparation, and EDA tasks, aiming to gain insights into breast cancer data.

data-driven-taxi-price-analysis

Repository for collaborative data-driven pricing analysis of an online taxi service. Employed Python libraries, including but not limited to NumPy, SciPy, Scikit-learn, and Pandas,, to optimize pricing strategies and understand passenger and driver behavior.

financial-company-cost-optimization

This repository contains a project completed for the Operations Research 2 course. The project focuses on optimizing costs for a financial services company's repayment centers by strategically locating payment centers across multiple U.S. regions.

flight-sales-data-analysis

This GitHub repository offers Python-based airline ticket data analysis, including customer-centric analysis, loyalty programs, sales patterns, and airlines service evaluation. We also identified preferred sources, destinations, and routes, while ensuring ethical data usage and code modularity.

health-insurance-charges-prediction

This project predicted health insurance charges using two methods: Averaging and Linear Regression. Linear Regression delivered more accurate predictions, highlighting its superior performance.

strategic-market-entry-analysis-for-italy-s-food-sector

wall-panel-plant-location-optimization

This repository hosts a project completed during the Operations Research I course. Collaborated on optimizing a wall panel plant location using LINGO for cost minimization, multi-supplier evaluation, and ensuring on-time deliveries. Also, conducted sensitivity analyses for various scenarios within budget and labor constraints.