Yassine Ammani

Training students at the Engineer and Master’s level Bac+5, and Bachelor’s level Bac+3. Design and deliver advanced courses in Data Engineering and Data Analytics. Guide end-to-end projects: ingestion, transformation, modeling, and visualization. Supervise practical work using Databricks, Apache Airflow, PostgreSQL, Kafka, and Microsoft Azure. Share best practices in data architecture, data quality, and performance optimization. Support students in executing technical projects and prepare them for professional integration.

• Designed and developed a multi-agent AI system for automated financial analysis using Google ADK and LLM-based workflows. • Built document intelligence pipelines processing XBRL filings, PDFs, and financial reports with OCR + AI extraction. • Developed ML models for financial health scoring, valuation analysis, and stock price forecasting. • Implemented AI-driven automation workflows to support analysts in faster and more reliable decision-making. • Collaborated with finance and engineering teams to improve data quality, reporting workflows, and operational efficiency.

Developed automated KPI dashboards using Looker Studio and Power BI for national performance tracking Built ETL workflows to centralize and structure reporting data Used Azure Data Factory and Azure SQL Database for data processing and storage Performed data analysis to support strategic and operational decision-making Produced visualizations and insights to monitor key performance indicators

- Developed a marketplace for used furniture for a merchandise transportation company using MERN stack, enhancing user experience and operational efficiency. - Collaborated with a cross-functional team to design and optimize database structures and APIs

Functional & regression testing API testing (REST APIs, Postman) Data validation & reconciliation Test case design & execution Data pipeline testing (ETL/ELT) Quality assurance for AI & data workflows Bug tracking & documentation (Jira) Ensuring data integrity in analytics & AI systems

- Led the digitalization of organizational processes, focusing on data integrity and workflow efficiency - Designed and drafted specifications for digitalization projects - Collaborated with teams to implement innovative digital solutions