MahanPourhosseini

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.

Credit-Risk-Prediction

This Jupyter Notebook focuses on credit risk prediction using a Random Forest Classifier. It covers data preprocessing, exploratory data analysis (EDA), model training, and handling class imbalance. Additionally, essential metrics such as precision, recall, F1-score, and confusion matrices are computed to evaluate the model's performance.

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.

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.

MahanPourhosseini/LA-Ozone-Concentration-Prediction

This project analyzes 1976 Los Angeles ozone and meteorological data, using linear regression in three stages: all features, the most correlated feature (temperature), and temperature-based data splitting. It underscores feature selection and data stratification's significance.

MahanPourhosseini/Metal-Nut-Defect-Detection

This repository hosts a case study on Transfer Learning aimed at improving the accuracy of metal nut inspection systems. The project explores the practical application of Transfer Learning methods to optimize quality control in the manufacturing industry, providing valuable insights into their effectiveness and potential benefits.

MahanPourhosseini/Water-Treatment-Plant

This GitHub repository houses a water treatment plant classification project. Leveraging Python and machine techniques, it categorizes the plant's operation state using sensor data. The project covers data preprocessing, EDA, model training, and hyperparameter tuning, highlighting expertise in data science, ML, and data visualization.

MahanPourhosseini/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.

MahanPourhosseini/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.

MahanPourhosseini/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.

MahanPourhosseini/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.

MahanPourhosseini/Credit-Risk-Prediction

This Jupyter Notebook focuses on credit risk prediction using a Random Forest Classifier. It covers data preprocessing, exploratory data analysis (EDA), model training, and handling class imbalance. Additionally, essential metrics such as precision, recall, F1-score, and confusion matrices are computed to evaluate the model's performance.

MahanPourhosseini/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.

MahanPourhosseini/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.

MahanPourhosseini/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.

MahanPourhosseini/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.

MahanPourhosseini/News-Classification

This repository includes an NLP (Natural Language Processing) project that focuses on text classification for news articles sourced from an Iranian newspaper. It encompasses various stages of the NLP pipeline, including data exploration, text preprocessing, vectorization, train-test data splitting, and machine learning model training.

MahanPourhosseini/Strategic-Market-Entry-Analysis-for-Italy-s-Food-Sector

MahanPourhosseini/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.

MahanPourhosseini/Li-ion-Battery-Plant-Feasibility-Study

MahanPourhosseini/Money-Supply-Modeling

Repository for a collaborative system dynamics model addressing Iran's monetary system and inflation crisis using Vensim. Pioneering innovative economic solutions to combat challenges.

MahanPourhosseini/Neobank-Project-Management-and-Scheduling

This repository showcases a project focused on neobank project management and scheduling. It includes a detailed project charter, multi-level work breakdown structure, and a Gantt chart adhering to strict work hours. Resource allocation, dependency management, cost optimization, and progress tracking were performed using Microsoft Project Software.