Tunis Expériences
Business Intelligence Engineer
• Designed and managed scalable ETL pipelines using Apache Airflow and dbt to orchestrate and transform structured and semi-structured financial transaction data, improving data integration efficiency by 40%.
• Centralized and optimized financial and accounting data within BigQuery, enhancing accessibility, governance, and query performance for fraud detection and risk analysis.
• Developed parameterized and modular dbt models to ensure flexibility, reusability, and maintainability across different financial data environments.
• Built and automated ETL processes for transaction processing and invoice reconciliation, reducing data processing time by 25% and ensuring real-time anomaly detection.
• Implemented machine learning-driven anomaly detection using Isolation Forest and clustering techniques, identifying fraudulent transaction patterns and reducing fraud incidents by 20%.
• Designed and developed interactive dashboards and reports for financial analysts, translating complex business objectives into actionable insights, improving strategic decision-making efficiency by 30%.
• Monitored key financial and operational KPIs, enabling proactive risk management and enhancing fraud detection capabilities.
Use case of my project:
The use case for this project is to build an end-to-end fraud detection and financial analytics solution by ingesting transaction and invoice data from multiple sources into BigQuery using Apache Airflow. The data is then transformed using dbt to create clean and structured financial datasets. Machine learning models, including Isolation Forest, are applied to detect anomalies and fraudulent activities. Finally, Looker Studio is used to build interactive dashboards, providing real-time insights into financial performance and fraud patterns.
Quality Assurance Engineer
• Conducted system specification reviews, manual and automated testing, and post-release validation across multiple projects (Deepnrise - Industry 4.0, Uvey - Accounting, Rektic - SEO), ensuring robust software performance and high-quality releases.
• Designed and implemented test strategies aligned with project requirements, executing 200+ test cases manually and via automation, achieving a 90% defect identification rate.
• Analyzed system specifications with 95% accuracy, reviewed product code for adherence to specifications, and maintained a 98% compliance rate, ensuring software reliability.
• Developed and maintained comprehensive test documentation, including test cases, test plans, and logs, improving defect resolution time by 30%.
• Led defect management and collaborated with development teams, reducing issue resolution time by 25% and improving overall software quality.
• Conducted post-release and post-implementation testing, reducing post-release defects by 15%. Assisted in bug fixes using Quarkus (backend) and Angular (frontend), resolving over 50+ issues.
• Optimized product development processes by collaborating with Product Owners to plan and prioritize release schedules, contributing to a 20% reduction in time-to-market.
• Designed and developed a dashboard to track defect resolution performance, integrating data from Trello and internal databases to provide real-time quality monitoring.
Use case:
The use case for this project is to establish a comprehensive testing framework to ensure software reliability across multiple domains, including Industry 4.0, accounting, and SEO platforms. Test cases are executed manually and via automation, covering functional, regression, and post-release validation. Defect tracking is streamlined through Trello, while real-time quality monitoring is implemented using a dashboard, integrating data from test logs and development reports to enhance decision-making and optimize defect resolution.
Quality Assurance Analyst
• Thoroughly examined and assessed system specifications to ensure they met business and functional requirements for the Deepnrise project, which focuses on optimizing operational performance and engaging operators in continuous improvement initiatives within industrial businesses.
• Executed over 150 test cases manually and through automation, identifying and documenting defects, and ensuring the software met the required quality standards.
• Assessed product code for compliance with defined specifications, contributing to a 95% adherence rate and ensuring operational readiness.
• Generated detailed logs documenting various testing stages and identified defects, enabling clear tracking and resolution.
• Actively communicated identified bugs and errors to the development teams, facilitating efficient issue resolution and maintaining a 25% reduction in bug fix time.
• Assisted in diagnosing and resolving issues in collaboration with the development and product teams, ensuring smooth post-release and post-implementation testing.
• Conducted post-release testing, ensuring system stability and reducing post-release defects by 15% during the implementation of the Deepnrise project.
• Collaborated with cross-functional teams to maintain software quality throughout the development lifecycle, improving product stability and performance.
Use case:
The Deepnrise project is designed as a digital solution for continuous improvement in industrial operations. It aims to maximize operational performance by engaging operators in improvement projects, standardizing best practices, and leveraging digital Lean Manufacturing techniques. My role in this project involved ensuring the software met the highest quality standards through detailed testing, bug identification, and collaboration with the development team to resolve any issues. This process ensured the Deepnrise solution was stable, reliable, and optimized for improving industrial operational performance.
Full-stack Developer
• Led the complete redesign and implementation of the company’s website using WordPress, improving UI/UX design and functionality, resulting in a 30% boost in search engine rankings.
• Enhanced SEO strategies and optimized site content, driving a 40% increase in web traffic and a 50% improvement in user engagement.
• Architected and developed a scalable web application using Symfony, seamlessly integrating frontend and backend components to meet business needs.
• Optimized website performance, reducing load times by 45% and enhancing user satisfaction by 35%.
• Delivered a robust solution that streamlined business operations, increasing operational efficiency by 40%.
Use case of my project:
The use case for this project involved redesigning the company’s website to improve user experience, drive traffic, and enhance business efficiency. Using WordPress, the website was revamped with a focus on SEO optimization and content strategy, which resulted in higher search engine rankings and greater user engagement. A scalable web application was developed with Symfony, integrating frontend and backend components, while performance was optimized to reduce load times and improve user satisfaction. The end result was a more efficient platform that streamlined internal business operations and boosted web traffic.
Enterprise Resources Planning Analyst
• Streamlined salary processing and management using the ERP system, ensuring accurate payroll operations and improving efficiency in financial management.
• Optimized inventory and supply chain management by leveraging ERP functionalities to track and manage stock, enhancing visibility and operational efficiency.
• Utilized the ERP system to handle HR operations, including employee records, leave management, and workforce planning, resulting in more effective workforce management.
• Oversaw resource allocation within the ERP system, optimizing operational efficiency and improving cost management across departments.
• Leveraged ERP tools for client relationship management (CRM) and sales operations, ensuring seamless order processing and enhancing customer interactions.
