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Achievement: YOLOAchievement: Pull Shark

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fatouu50/README.md

Master's in Data Science & Data Modeling — Université de Djibouti Building VALORA — AI that turns waste into financial assets


Data Science & Analysis

Project Description Stack
Analysis-Airbnb-market-NY Multi-format data import & cleaning — NYC Airbnb market insights Python Pandas
TICKIT-database-analysis Relational data analysis — multi-table joins, SQL window functions Python Pandas SQL
Time-Series-Forecasting-ML Retail demand forecasting — XGBoost · LightGBM · Prophet Python Jupyter ML
MovieLens Netflix-style recommender — CF · Content-Based · MMR reranking Python Scikit-learn Pandas

AI Products

Project Description Stack
VALORA AI that turns waste into financial collateral Python Streamlit AI
AI Financial Coach AI-powered personal finance advisor Python AI
DjibReco Local restaurant recommender for Djibouti Python Django
Clean Benefit Platform linking waste producers to recyclers Python Streamlit
MonAppTkinter Graph visualization & algorithm analysis Python Tkinter

Stack

Python Pandas NumPy SQL Scikit-learn Jupyter Streamlit Flask Git Linux


Stats

 

GitHub    Email





"we don't manage waste — we unlock financial assets."

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  1. AI-Financial-Coach AI-Financial-Coach Public

    AI Financial Coach is an inclusive web application that uses artificial intelligence to transform simple financial data into accessible, responsible, and locally adapted investment decisions. The p…

    HTML

  2. Analysis-Airbnb-market-NY Analysis-Airbnb-market-NY Public

    Exploration du marché Airbnb NYC (2019) : fusion de 3 sources de données (prix, type de logement, avis), nettoyage des prix et des dates, analyse des tendances par quartier et type de chambre.

    Jupyter Notebook

  3. MovieLens MovieLens Public

    MovieLens 100K recommender system built with Python & Streamlit — collaborative filtering, content-based, and popularity-based models with an interactive Netflix-style UI.

    Python

  4. tickit-database-analysis tickit-database-analysis Public

    Exploration d'un schéma relationnel (7 tables) inspiré du dataset TICKIT d'AWS Redshift : jointures, agrégations et analyse de ventes de billets en ligne.

    Jupyter Notebook

  5. Time-Series-Forecasting-ML Time-Series-Forecasting-ML Public

    A comprehensive project focused on Time Series Forecasting using Machine learning classic algorithms (XGBoost, LightGBM, Prophet) to predict retail store item demand.

    Jupyter Notebook

  6. fatouu50 fatouu50 Public

    Data enthusiast | Machine Learning, Time Series & Data Analysis with Python. I love turning raw data into clear insights. Self-taught, curious, always learning.