Tunis Expériences
Deep learning engineer
Project : Sector Price Prediction with Macroeconomic Indicators using Deep Learning
- Conducted extensive preprocessing, including fractional differentiation, on large-scale time series datasets with mixed-frequency data.
- Data analysis for Financial Market Data.
- Designed and Implemented different time series Forecasting Algorithms using Pytorch to make multivariate and univariate predictions for stocks in different Sectors with multiple Indicators.
- Applied Evaluation and Validation techniques such as hyperparameter
tuning and cross-validation to improve model performance.
- Deployed interactive Financial Dashboards and sector price forecasting tools
using Streamlit
Formations
Data scientist
Project: Advanced Predictive Modeling for Enhancing Traffic Forecasting in Emerging Cellular Networks
