Freelancer profile translated to English.
Back to original languageAbout Adnane
Senior Data Analyst | Expert in Data Engineering and Transactional Analysis
Senior data analyst with over 7 years of experience in data analysis and modeling. I have worked in demanding environments such as KPMG, BNP Paribas, and Almerys, where I have helped companies optimize their mergers and acquisitions processes, automate workflows, and make informed decisions based on reliable data.
I am proficient in a variety of tools and technologies, including Python, SQL, Alteryx, Power BI, and Big Data solutions like Hadoop and Spark. My expertise ranges from complex financial analyses to the creation of robust data pipelines for production environments. I have contributed to the implementation of machine learning solutions for fraud detection and sales forecasting, thereby delivering measurable results to the projects I lead.
Key Skills:
Visualization and Reporting: Creation of interactive dashboards with Power BI to facilitate stakeholder decision-making.
What I can bring to you:
Strategic analyses and insights based on reliable data, whether to improve your company's profitability or optimize your mergers and acquisitions projects.
Expertise in automation to reduce repetitive manual tasks and accelerate decision-making processes.
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- KPMG FranceSenior Experienced - Deal Analytics | Transaction ServicesMay 2021 - July 2024 (3 years and 3 months)Paris, FranceI support companies in mergers and acquisitions by conducting in-depth financial analyses for due diligence. I use tools like Python, Alteryx, and Power BI to identify growth opportunities, assess financial risks, and provide strategic insights. I have also automated data analysis processes, which has accelerated decision-making for clients.
- BNP PARIBASData EngineerMay 2018 - May 2021 (3 years)As a data engineer, I have developed and optimized data pipelines for data science teams, particularly in banking environments. I have also improved the efficiency of supervised learning models, reducing processing times by 20%. My skills in data management and monitoring via Splunk have contributed to the success of several critical projects.
- Be YsData ScientistFebruary 2017 - May 2018 (1 year and 3 months)Île-de-France, FranceAt Almerys, I designed and deployed predictive models for real-time fraud detection in the healthcare sector. I also applied machine learning techniques to improve therapeutic decision-making, providing valuable insights to medical teams.
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Education
- Master in Applied Mathematics,Université Paris Cité.2017Master en mathématiques appliquées,
- Bachelor's degree in Applied Mathematics,URCA (University of Reims Champagne-Ardenne).2015Licence en mathématiques appliquées,