Slim Farhat

AI Tunisie Index: An Intelligent Stock Market Analysis & Forecasting PlatformThis project involved the development of a comprehensive decision-support tool for financial analysts, leveraging Data Science and Artificial Intelligence to anticipate market trends and support investment recommendations within the Tunisian stock market. Key Achievements: Data Ingestion & Engineering: Built an automated pipeline for data collection using web scraping (Selenium). Developed processes for cleaning, aggregating, and enriching time-series data with various technical indicators (SMA, RSI, MACD, Bollinger Bands, ATR, etc.).Predictive Modeling: Designed a hybrid modeling pipeline integrating LSTM, XGBoost, Prophet, and GARCH to forecast stock prices and identify specific market regimes.Workflow Automation: Implemented a scheduler to orchestrate the end-to-end process, including automated scraping, model retraining, and real-time prediction generation.Performance Analysis: Evaluated model accuracy and strategy viability using financial metrics (Sharpe Ratio, Maximum Drawdown) alongside statistical metrics (RMSE, MAPE, R^2), supported by rigorous backtesting visualizations.Interactive User Interface: Developed a full-stack dashboard using React and .NET Core to visualize market trends, forecasts, and optimized portfolio allocations.

Microservices & CI/CD Pipeline Builder This project focused on the development and deployment of a microservices architecture on AWS, supported by a fully integrated CI/CD pipeline. By implementing DevOps best practices, I automated the deployment lifecycle to ensure high reliability, scalability, and operational efficiency. Key Achievements: Cloud-Native Microservices: Designed and deployed scalable services using AWS Lambda and API Gateway, transitioning from monolithic structures to a decoupled architecture. Infrastructure as Code (IaC): Utilized Terraform to provision and manage AWS resources, ensuring reproducible environments and version-controlled infrastructure. Pipeline Automation: Engineered end-to-end CI/CD pipelines using Jenkins and GitHub Actions to automate code testing, Docker image building, and production deployments. Containerization: Packaged applications using Docker to provide consistent runtime environments across development and production stages. Cross-Functional Collaboration: Partnered with multidisciplinary teams to define architectural requirements, significantly reducing time-to-market and enhancing system resilience.

AI Integration: Integrated AI into decision-making processes, resulting in a 15% reduction in diagnostic errors. FinTech for Healthcare: Developed FinTech solutions tailored for the healthcare sector, improving operational efficiency by 30%. Data Visualization: Designed automated Power BI dashboards to streamline the tracking and reporting of Key Performance Indicators (KPIs).