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rami bouraoui

@ramibouraoui

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Data Analyst and Python back-end developer with a Master's degree.

Tunisia

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What I'm looking for

I am looking for a role that fosters growth, encourages innovation, and allows me to leverage my analytical skills to drive impactful business decisions.

I am a dedicated Data Analyst and Python back-end developer with a Master's degree in Business Analytics. My expertise lies in designing and optimizing ETL pipelines, data warehouse migration, and developing insightful dashboards. I have a proven track record of utilizing ETL tools like Talend and Alteryx, and I excel in data modeling, business requirements analysis, and solving complex problems.

During my internship at UIB - Groupe Société Générale, I developed an ETL application that automated anti-money laundering reporting, significantly reducing processing time by 75% while achieving 95% accuracy in identifying suspicious transactions. I also modernized analytical pipelines for banking credit data, resulting in a 60% reduction in processing times and automating 80% of report production tasks. My work has consistently improved decision-making efficiency through the development of interactive Power BI dashboards.

Experience

Work history, roles, and key accomplishments

Current

Technical Banking Consultant

Current

UniQ Soft Technology

Aug 2024 - Present (10 months)

Designed and implemented a data warehouse application using Django and Python tailored to banking needs, migrating and transforming data from a non-relational database (T24) to a relational database. Managed and optimized data flows to integrate large volumes of information into the data warehouse, ensuring system reliability and performance. Dockerized the application for better portability and r

Django Python Data Warehousing ETL MySQL Docker Database Optimization T24 Security Best Practices

Data Analyst Intern

UIB - Groupe Société Générale

Aug 2022 - Feb 2023 (6 months)

Developed an ETL application with Alteryx to automate anti-money laundering reporting for the GOAML project, reducing processing time by 75% and achieving 95% accuracy. Designed and implemented an optimized ETL pipeline for processing customer transaction data, generating XML reports for the central bank with a 90% reduction in manual errors. Modernized ETL pipelines for banking credit data, migra

ETL Talend Alteryx SQL Server Python Power BI Data Mining Machine Learning Reporting

Education

Degrees, certifications, and relevant coursework

Unknown

Master's degree, Business Analytics

Focused on advanced data analysis techniques and business intelligence strategies. Developed expertise in designing and optimizing ETL pipelines, data warehouse migration, and dashboard development.