I'm a data analyst from Niger. I like digging into messy datasets to understand what's actually going on, and building small tools — some of them AI-based — around problems I see at home.

I'm currently open to new opportunities — feel free to reach out.

• 🗳️ Niger 2020 Election Analysis — Deeper analysis of Niger's December 2020 presidential first round across all 266 communes: a reproducible Python pipeline (raw CENI data → cleaned datasets), an EDA notebook, and a self-contained interactive HTML dashboard with a choropleth map (winner and turnout), regional filters, and a searchable table.
• 🌊 Niger Flood Early Warning — A flood early-warning system for Niger: department-level risk scoring built from open climate data (rainfall, NDVI) and OCHA flood impact records.
• 💳 Mobile Money Fraud Detection — End-to-end fraud detection pipeline on mobile money transactions (MoMTSim dataset): data cleaning in Python, SQL queries, and a Tableau/Chart.js dashboard.
• 📄 ATS — AI Resume Screener — An AI assistant for CV screening: upload a job description, the app reads your Google Drive folder and ranks candidates by relevance using Gemini. Stateless, no database, built with TypeScript.
• 🍽️ Niamey Restaurants Analysis — A market study on where to open a restaurant in Niamey, and what kind. Based on ~490 establishments scraped from Google Maps: data cleaning with Python and DuckDB, statistical tests, geospatial clustering with maps, and a scoring model to compare neighborhoods.
• 🪑 Market Scanner Niger — Gaskiyar Kaya 🇳🇪: a tool that uses AI to assess furniture quality, built to help buyers in Niger make better purchase decisions.
• 🛒 Customer Behavior Analysis — Analysis of 3,900 shopping records, from exploration in Python and SQL (PostgreSQL) to a Power BI dashboard and a written report. Looks at customer segments, revenue drivers, discounts, and loyalty programs.
• 📡 MTN Churn Analysis — Churn study on MTN Nigeria customer data (974 records, 496 customers) using Python, PostgreSQL, and Tableau. The overall churn rate comes out at 29.2%, with recommendations on which segments to focus retention on.
• 🌱 More projects on the way.

Focus areas: Data Analysis · Data Visualization · SQL & NoSQL Databases · Data Wrangling · Web Scraping · Geospatial Analysis · Statistical Testing

• 💼 LinkedIn: linkedin.com/in/mohassane

_{💬 Open to opportunities in data analysis.}