Freelancer profile translated to English.
Back to original languageAbout Assane
I have expertise in collecting, processing, analyzing, and visualizing data. My approach is based on a solid mastery of analysis tools as well as advanced skills in Power BI to create interactive reports and impactful dashboards.
My key skills?
- Python 💻
- SQL 🗂️
- PowerBI 📊
I make it a point to understand the specific challenges of each project to provide relevant insights and facilitate decision-making. Thanks to my rigor and my ability to work with complex data, I transform raw information into strategic and visual analyses.
Why work with me?
I listen to my clients and strive to understand their needs and objectives with precision. I like to take a step back on each project to analyze the data in depth and propose adapted solutions. My curious mind pushes me to explore all possible avenues to offer innovative and quality results. Collaborating with me means ensuring personalized support and the implementation of data solutions that are both reliable and relevant.
English
Native or bilingual
French
Fluent
Can work on-site
Paris (up to 50km)
Experience
- CapgeminiData analystJune 2024 - Today (2 years)MOBHEELContext: Project to develop a mobile application to help drivers in decision-making, using data from mobile phones and potentially integrating it with vehicle systems: Writing Python scripts to automate the collection and processing of data from sensors and stored in zip files. Using Python libraries such as pandas, zipfile, and os for file management. Preprocessing of datasets, handling missing values, aggregating data collected over several years. Optimizing collection and analysis processes to generate reports on traffic trends.
- CODiLOGData migrationFebruary 2023 - June 2023 (4 months)Data Recovery project for the client CAILLAU: Data migration from a source system (IFS) to a target system (SAP) using the legacy system migration workbench (LSMW) via the use of BAPI and Batch Input. Facilitating specification workshops to understand the functional needs of the project.Searching for tables to populate using transactions or tools specific to the task (SE11, SE16, Codilog tools....) Setting up routines or reports to format the data files to facilitate their reading by the Legacy System Migration Workbench. Unit testing on data samples.
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Education
- M2 Data Science-Probabilities and statistics of dataUniversité Gustave Eiffel2021Projet Machine Learning : Réalisation d’un algorithme prédictif sur la nature d’une tumeur (Bénigne : B ou Maligne M), création d’une interface de saisie et de visualisation du résultat avec le Framework Flask
- Bachelor's degree in Fundamental Mathematics2018Licence 3 Mathématiques Fondamentales