matloptlib

Classification data and using ANN model

“Python-based student performance analysis system that evaluates academic results, tracks trends, and identifies strengths and weaknesses using data analysis and visualization.”

Interactive Python app for graphing functions and exploring their derivatives and integrals, with built-in analysis tools.

Four Python Projects. Python Data Analysis Libraries were used

Data cleaning and exploratory analysis of 186K retail electronics transactions (2019) with pandas & matplotlib — answers 5 business questions in a fully reproducible notebook.

A multivariate machine learning framework for predicting student stress levels with 90%+ accuracy.

Python web scraping project using YouTube API to analyze popular data science educators, comparing their channel performance and video content patterns.

Turns a project's raw activity data into a polished, professional report — automatically, in one command. Built as the reporting layer for an AI agent development portfolio: point it at a project's summary data and it produces a single, self-contained HTML report (PDF optional) with a chart, clean tables, and no external file dependencies.

Synthetic loan portfolio dataset for Turkey, Germany, and Jordan. Built with Python and pandas — demonstrates relational data modelling, table merging (LEFT JOIN), Excel I/O, and BI visualization. Frankfurt School MENA Internship project.

Amazon Customer Review Sentiment Analysis using Python, Pandas, TextBlob and Matplotlib.

🔵 School Project - Epitech - 2nd year - Zoidberg 2.0 est un système d'aide au diagnostic médical (Computer Aided Diagnosis) capable de détecter une pneumonie sur une radiographie pulmonaire, construit en machine learning classique (scikit-learn) sur un dataset de 5 856 radios thoraciques.

End-to-end Sales Revenue Optimization project using SQL (MySQL), Python (Pandas + Matplotlib), and Power BI. Includes data cleaning, KPI generation, EDA, and an interactive business dashboard for retail performance analysis.

Python project: sales dataset generation, pandas analysis and matplotlib charts

“Petshop platform with vet services, interactive React frontend, and Python data analysis for sales and pet records.”

Business case study - Data Science and machine learning

Path planning visualizer. A* & BFS on randomized grids, step-by-step GIF export.

Legacy Quant Bridge : Simulateur financier hybride. Interface Python (Tkinter/Matplotlib) couplée à un moteur de calcul haute performance Fortran 90. Projetez vos intérêts composés et exportez vos audits (PDF/Excel) instantanément.

HR, ESG & Finance Analytics Dashboard – headcount, salaries, attrition, and trends (synthetic 2024 data). Built with Power BI and Python.

Real-time ergonomic posture risk analysis using MediaPipe pose estimation and computer vision.

Developed a machine learning model to predict Uber ride prices. Evaluated multiple regression models, including Linear Regression, Ridge, Lasso, ElasticNet, and Random Forest. Conducted comparative analysis to optimize model selection for accuracy and interpretability. Identified key pricing determinants such as distance and time-of-day effects