Maissem hedfi

-Built a Python-based invoice processing application that automatically extracts key financial data (invoice number, VAT%, gross, net, and brutto amounts) from unstructured documents, reducing manual data entry time by ~80% -Engineered a hybrid extraction pipeline combining regex-based parsing with an AI fallback layer, achieving over 95% extraction accuracy across varied invoice formats -Designed an end-to-end export workflow enabling one-click download of structured invoice data into Excel, directly strea

Built a full-stack real-time IT infrastructure monitoring application using FastAPI (Python) and Angular, aggregating live system metrics — ping, RAM, ROM, disk capacity, and device health — from physical machines via SNMP and WinRM protocols Designed and implemented a PostgreSQL database architecture to store and manage continuous streams of device telemetry data across the monitored network Developed embedded Power BI dashboards within the application to visualize real-time infrastructure KPIs, enabling I

Engineered an end-to-end HR analytics platform processing workforce data from collection through visualization, enabling management to monitor team performance through a single Power BI interface Built a full ETL pipeline using Talend and Python to collect, clean, and integrate HR data from disparate sources, cutting data preparation time by ~65% Developed interactive Power BI dashboards tracking 10+ HR KPIs including headcount, turnover rate, and performance scores, replacing manual spreadsheet reporting T

Developed a full-stack web application designed to manage a company’s vehicle fleet efficiently. The system enables the administration of vehicles, insurance records, vehicle assignments to employees, as well as tracking of technical inspections and maintenance schedules. Technologies Used: MERN Stack (MongoDB, Express.js, React.js, Node.js) Methodology: Agile / Scrum

Description: Developed a web-based recruitment platform that allows candidates to apply for job offers and enables the storage and management of applicant information. The platform streamlines the hiring process by simplifying job posting, candidate tracking, and application management. Technologies Used: PHP, MySQL, JavaScript, jQuery, Bootstrap, HTML5, CSS3 Methodology: Agile / Scrum

Exchange program within the Faculty of Mathematics and Computer Science. Focus on data analysis, machine learning, and intelligent systems.