Mehdi Feki

Within Agile Scrum : ● Performed functional analysis of business needs and understanding of user expectations ● Designed data architecture to meet reporting and analysis needs ● Integrated data via Azure Data Factory, primarily from MS Dynamics 365 F&O ERP solution. ● Modeled data with Tabular Editor and advanced development with DAX. ● Created Power BI reports: using Power Query, DAX, RLS,bookmarks, filters, drillthrough, etc. ● Wrote technical and functional documentation related toimplemented BI solutions ● Maintained data infrastructure as well as Power BI reports delivered to clients ● Developped a solution for integrating Google Seach Console and Google Analytics data via their API's with Azure Data Factory and created related reports with Power BI

Project 1 : Smart Electric Vehicle Charging ● Designed a reinforcement learning environment simulating interactions between electric vehicles, grid prices, and photovoltaic production with a team of 6 members, including PhDs and researchers. ● Engineered reward functions to optimize the balance between PV energy and grid electricity usage, leading to a 95% reduction in congestion penalties and a 90% increase in energy efficiency over electricity only system ● Analyzed and visualized results to demonstrate the effectiveness of the RL agent and compared it with multi-armed bandit approaches. Project 2: IPv4 Demand Predictions ● Applied K-means clustering for country segmentation and PCA for dimensionality resulting in a 25% improvement in data processing efficiency and accurate handling of 100% missing values. ● Implemented ARIMA models to forecast the number of fixed technology subscribers like ADSL, VDSL and FTTX. ● Deployed an interactive dashboard to visualize IP allocations and subscriber data.

● Performed ETL operations to process data from banking transactions and daily log files. Ensured accurate data extraction and transformation to support error detection and analysis for SOAP services. ● Identified KPIs crucial for evaluating business performance and visualized them in dashboards that effectively facilitated data-driven decision-making. ● Underwent training in Talend ESB.

Project: Formule One Decision Platform for the investors ● Collaborated with a team of 6 members to define objectives and KPIs required for the project. ● Developed detailed dimensional data models to structure and organize data effectively. ● Executed ETL processes on the data while maintaining its integrity and consistency for subsequent analysis. ● Applied machine learnings algorithms to forecast the performance of drivers and constructors with 95% precision for top 3 positions. ● Created an interactive dashboard for visualizing all the previous data with Power Bi. These dashboards allowed users to visualize performance metrics and trends in a user-friendly format GitHub: https://github.com/Mehdi-Feki/Formule-One-Decision-Platform

Goal: Construction of a generic sales platform using: ● A backend service with reusable REST APIs ●Development of an E-commerce website and mobile application Github: https://github.com/Mehdi-Feki/Generic-E-Commerce

Goal :Building a web, desktop and a mobile application for museum and exposition management Responsibilities: ● Created a Database ●Designed a desktop application using JavaFX ●Developed a web application using Symfony PHP ● Created a mobile application using CodeNameOne