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atoussi ouais
@attoussi_ouais
Machine Learning Engineer
Algerien
Arabisch, Englisch, Französisch
Über mich
Machine Learning Engineer with a Master's degree specializing in
time series forecasting and predictive modeling.
Recent project: Polypropylene price forecasting using XGBoost —
R²=0.80, MAE=178 CNY/ton, 2.3% error rate on unseen test data,
deployed as a live Streamlit dashboard with confidence intervals.
What I deliver:
✔ Clean, documented Python code
✔ Proper validation — no data leakage
✔ Feature engineering from raw data
✔ Interactive Streamlit dashboards
✔ Full source code included
Live demo: polypropylene-price-forecasting.streamlit.app
Kompetenzen
atoussi ouais
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Zeitreihenanalyse
I will create sales demand and business forecasting model using ai and python
Maschinelles Lernen
I will urgently fix your python machine learning model and improve accuracy
Portfolio
Arbeitserfahrung
Machine Learning Engineer (Freelance)
Freelancer.com • Selbstständig
Mar 2024 - Present • 2 yrs 2 mos
Building end-to-end machine learning pipelines for time series forecasting and classification problems. Key project: Polypropylene futures price forecasting model using Walk-Forward XGBoost with 36-month rolling window validation. Results on unseen test data: - R² = 0.80 - MAE = 178 CNY/ton (2.3% average error) - 87.5% coverage inside 95% confidence interval - Deployed as interactive Streamlit dashboard Technical stack: Python, XGBoost, Optuna, Streamlit, Plotly, Pandas, Scikit-learn, yfinance, FRED API Delivered: full source code, predictions CSV, feature importance analysis, confidence intervals, live dashboard deployment.
