Freelancer profile translated to English.
Back to original languageAbout Mariem
As a Data Scientist engineer, I am fortunate to be in a field that is constantly evolving and offers many opportunities to innovate and create value. My passion for data manipulation will allow me to develop valuable skills in data collection, storage, analysis, and visualization. Furthermore, my analytical mind will enable me to understand complex problems and find effective solutions using Machine Learning and Deep Learning algorithms. My enthusiasm for my work will drive me to continuously train myself and stay up-to-date with the latest technologies and industry trends.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 10km)
Experience
- Crédit agricoleData AnalystBANKING AND INSURANCEMarch 2023 - Today (3 years and 5 months)Paris, France➤ Design, implement and develop data analysis reports on Power BI and Spotfire.➤ Prepare data and help build a prototype to interpret and analyze results.➤ Meet with bank stakeholders to identify needs and define business requirements.➤ Ensure data quality and integrity (quality control, consistency, transformation).➤ Communicate analyses to business teams and support them in adopting new tools.➤ Participate in the Big Data overhaul within the bank.➤ Maintenance of existing Spotfire/Power BI applications.Keywords: PowerBI, Spotfire, Databricks, VBA, Alteryx, SAP BO, Snowflake, Python, Hive, MapR, MapR Secure, KPI, Compliance, Risk
- Société GénéraleData Scientist AuditorBANKING AND INSURANCESeptember 2020 - February 2023 (2 years and 6 months)● Identify and analyze business issues, translate them into data analysis investigations, conduct these investigations, and draw conclusions/recommendations.● Challenge the control processes and tools in place within the bank.● Identify and predict anomalies in data related to the bank's various activities.● Scoring of network branches.
- Société Générale - CIBData ScientistBANKING AND INSURANCEMarch 2020 - August 2020 (6 months)Paris, FranceDetection and prediction of anomalies in financial data.● Collect data from multiple sources (csv, Json, parquet) from the Datalake (150GB/day).● Implement an automatic data preparation method to optimize statistical analyses and reduce the execution time of Machine Learning algorithms.● Model and implement Clustering algorithms for anomaly detection.● Introduce a new user-defined similarity measure and choose the best hyperparameters using several methods.● Analyze Clustering results and filter points with a high probability of being anomalies.● Communicate results to business units within the company to validate outliers.
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Education
- Preparatory Engineering Studies – Mathematics & PhysicsTunis Preparatory Institute for Engineering Studies2017
- National Engineering Diploma in TelecommunicationsNational Engineering School of Tunis2020Option 3ème année: Data Science (Machine Learning, Deep Learning, Python, Big Data, Signaux etc. )
Certifications
- Big Data Essentials: HDFS, MapReduce and Spark RDDCoursera2022
- Certified Information Systems AuditorISACA2023