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cabluemgeek/README.md

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Hi, I'm Kamélia 👋


🌐 View my portfolio »

Email GitHub

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Data Science × Finance | Turning spreadsheets into insight, and coffee into code ☕


🎯 About me (the highlight reel, minus the group projects nobody helped with)

  • 🎓 Master 1 in Gestion des Instruments Financiers @ CY Cergy Paris Université — alternance starting Sept. 2026, hire me :) I promise I'll do good work.
  • 📊 Collected degrees in statistics, actuarial science & econometrics like Pokémon cards
  • 💼 Been paid to look at data at Yassir, Sonatrach, BNA, Gulf Insurance Group & Vousfinancer — still no idea why they trusted me with production databases
  • 🧠 I build things that actually run, not just notebooks that live and die in Untitled_final_FINAL_v2.ipynb
  • 🌍 Based near Cergy, France — bilingual in French, English, and passable "it's not a bug, it's a feature"
  • ✍️ Writing a novel about quantum physics and Berber history, because apparently gradient descent wasn't nerdy enough for me
  • 🧼 I also make handmade soap. No, I will not explain the connection between soap and XGBoost. There isn't one.
  • 👻 Currently haunted by 200+ job applications and one (1) recurring dream about hyperparameter tuning

🚀 Featured projects (a.k.a. things I made instead of sleeping)

Project Description Stack
Ask Your 10-K Local RAG assistant to query SEC 10-K filings LangChain, ChromaDB, Ollama (Llama 3.2), Streamlit
Agentic Portfolio Copilot LangGraph-based agent that navigates my portfolio LangGraph, Ollama (Llama 3.1)
Credit Score Estimator Credit risk scoring model LightGBM, AUC 0.778 (Home Credit dataset)
Bank Customer Churn Analysis Churn prediction + survival analysis XGBoost, Cox regression, lifelines
Crude Oil Price Forecasting Multi-model forecasting on Saharan Blend crude SVR, RF, XGBoost, LSTM, CNN-LSTM hybrid
Multilingual Sentiment Analysis NLP sentiment analysis across French, English & Darija mBERT, XLM-RoBERTa, DziriBERT
Ride-Hailing Trip Fee Prediction Predicting trip fares on an Algerian ride-hailing dataset LightGBM, CatBoost, XGBoost, Random Forest, Keras MLP, Folium
Market Dashboard Interactive dashboard for market/ride-hailing data exploration Power BI, BigQuery, Chart.js, Plotly

🔗 Full portfolio (with 0% chance of a broken link, I checked twice): Portfolio link


🛠️ Tech stack (my digital toolbox, mostly held together by Stack Overflow)

Programmation & Scripting

Python R SAS VBA SQL

Data Science & Machine Learning

Kaggle Google Colab Pandas NumPy Scikit-learn TensorFlow XGBoost Streamlit Hugging Face LangChain Ollama

BI & Visualisation

Power BI Looker Studio Excel Plotly Folium

Bases de données

MySQL PostgreSQL BigQuery

Outils & Développement

Git GitHub VS Code Jupyter Google Cloud


📈 Fun facts, verified with a sample size of 1

Metric Value
☕ Coffee-to-code conversion rate ~78%, rest is spent staring at error messages
🐛 Bugs caused by missing semicolons in Python Yes, still happens, don't judge
📉 Times I said "it works on my machine" More than my LinkedIn recommendations
🔮 Confidence my next model won't overfit 60%, which itself is probably overfit

📫 Let's connect (no cold emails required, I promise I check my inbox... eventually)

Portfolio LinkedIn

⭐ Thanks for reading this far. Here's a cookie 🍪 for your effort. No refunds.

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  1. Agentic-Portfolio-Copilot Agentic-Portfolio-Copilot Public

    Python

  2. Ask-Your-10K Ask-Your-10K Public

    Python

  3. Credit-Risk-Scoring Credit-Risk-Scoring Public

    Python

  4. Customers-Churn-Analysis Customers-Churn-Analysis Public

    Jupyter Notebook

  5. Market-Risk-Dashboard Market-Risk-Dashboard Public

    HTML

  6. Portfolio Portfolio Public

    HTML