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Miftah-Ebrahim/README.md

SYSTEM STATUS



📊 EDA & Visualization
📓 Jupyter Notebooks
🤖 Basic ML Models

⚙️ Backend (FastAPI)
☁️ Deployment & Docker
🔄 End-to-End Pipelines

🧠 Agentic Workflows
🛡️ System Architecture
⚡ High Performance APIs

ARSENAL


PROJECT LOGS (Learning by Doing)

PROJECT DOMAIN KEY LEARNINGS (XP GAINED)
🏥 TeleHealth Analytics Ingesting raw Telegram data, building a warehouse, structured reporting
🕵️‍♂️ E-com Fraud Detection Geolocation analysis, feature engineering for fraud, handling imbalanced data
🧠 RAG Complaint Intel Vector databases, document chunking strategies, real-time querying
📈 AI Portfolio Optimizer Time-series forecasting (ARIMA/LSTM), modern portfolio theory logic
🇪🇹 Digital Finance Forecast Quantifying "Access vs Usage" gaps, sparse data forecasting techniques
💳 Credit Risk Pipeline RFM analysis, deploying models for Buy-Now-Pay-Later scenarios



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  1. credit-risk-scoring-ml-pipeline credit-risk-scoring-ml-pipeline Public

    End-to-end credit scoring pipeline using RFM analysis to predict default risk for Buy-Now-Pay-Later e-commerce transactions.

    Jupyter Notebook 2

  2. Fintech-Mobile-CX-Analytics Fintech-Mobile-CX-Analytics Public

    End-to-end Data Engineering and NLP pipeline to analyze Google Play Store reviews for Ethiopian mobile banking apps (CBE, BOA, Dashen Bank), performing sentiment and thematic analysis, and storing …

    Jupyter Notebook 2

  3. INSA_Group6_BrightRoot_Academy INSA_Group6_BrightRoot_Academy Public

    Group 6 repository for collaborative project work during the INSA 2025 Summer Camp.

    JavaScript 2 1

  4. solarDataAnalytics solarDataAnalytics Public

    Solar Data Discovery: Week 1 Challenge Cross-Country Solar Farm Analysis for MoonLight Energy Solutions

    Jupyter Notebook 1

  5. StockSentimentAnalysis StockSentimentAnalysis Public

    Analyze financial news sentiment and correlate it with stock price movements using NLP and technical indicators.

    Jupyter Notebook 2

  6. Insurance-claims-Intelligence Insurance-claims-Intelligence Public

    Developed an end-to-end ML solution for insurance risk/pricing. Implemented A/B testing & interpretable ML (SHAP/LIME) to define strategic risk segments. Ensured reproducibility with Git/DVC pipeline.

    Jupyter Notebook 2