Freelancer profile translated to English.
Back to original languageAbout Kamal
I am a consultant engineer and data trainer, I work with clients in the fields of insurance, banking, and asset management, such as BNP Paribas, Generali, Amundi, and Garance Mutuelle. I specialize in building dashboards using data visualization tools such as Microsoft Power BI and Tableau Software.
✅ 5 years of experience
✅ +10 companies advised
✅ +70 people trained in data, particularly in Microsoft Power BI
✅ +90% satisfaction
✅ ISAE-SUPAERO engineering degree in Data Science & Financial Engineering
Examples of projects carried out on the Power BI tool:
- Audit of existing data and needs gathering: identification of pain points and proposal of improvement
- Data connection and cleaning using Power Query
- Creation of robust star schema data models with advanced DAX language
- Construction of impactful, high-value Power BI dashboards for the business
- Deployment of dashboards on Power BI Service
- Writing clear user guides, training business teams on the tools, and maintenance
Trainer role:
Also a data trainer, my communication skills and technical expertise have enabled me to help over 70 people. I have worked in training bootcamps for individuals retraining in data, in companies (at Klepierre, among others), and in universities (MBA MCI, for example).
Need a data audit? Need a trainer for your teams or students?
Feel free to contact me for an initial discovery call: I will provide you with actionable advice to help you kickstart your project under the best conditions.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Lille (up to 50km), Nantes (up to 50km), Bordeaux (up to 50km)
Experience
- GeneraliBig data engineering on P&C insurance data (auto, home)BANKING AND INSURANCEJune 2022 - December 2023 (1 year and 7 months)Paris, FranceI worked within the partnerships team that Generali forms with insurance brokers, particularly in the P&C (auto, multi-risk home) areas.The objective was to design and build a monthly data management process for contracts and claims from brokers, from collection to reporting.- Organized business workshops to gather operational needs- Collected and stored files on an Azure cloud- Data processing, harmonization, and data quality improvement- Built databases in Python, PySpark, and exported to the cloud in parquet format- Optimized the monthly process with modular programming and the use of Git- Implemented consistency checks against received files and alerts for detected anomalies- Performed quarterly checks and reporting on the perimeter's activity and key indicators on Tableau Software
- GARANCE MUTUELLEManagement of investment risk for a mutual insurance companyBANKING AND INSURANCEAugust 2021 - November 2021 (3 months)Paris, France- Study in R language of Garance's portfolio in terms of ESG variables and comparison with MSCI, Euro Stoxx portfolios (dplyr, tidyverse, ggplot2 libraries)- Statistical study on country ratings and explanation using macroeconomic and ESG variables- Addition of new ESG variables on Bloomberg required for SFDR compliance
- NoveoCare (ex-GFP)Design of a Python web application (Flask) from scratchBANKING AND INSURANCENovember 2021 - March 2022 (5 months)Paris, FranceGFP (now NoveoCare) is a broker specializing in the management of Health, Provident, Retirement, and Borrower insurance contracts.The objective of this project was to optimize the work of operational staff who manage payment rejections received from insurers. This was done in several stages:- Audit phase to understand the initial payment rejection process, through business workshops with operational staff. Then, mapping of this process and proposal of an optimized solution in Python- Design of the application in Python (Flask, HTML, JavaScript) according to user needs (UX). This application allows for the storage and security of insurer data in an SQL database, enriching it with internal data, and accessing it in a secure and user-friendly manner with a dashboard view.
Reviews
S'
Matthieu Louvet - S'investir
Reviewed on 2/15/2024
I am very satisfied with the work accomplished by Kamal on this Python project. He delivered the project on time and autonomously. I recommend him!
Recommendations
AS
NH
+1
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Education
- Engineering degree in Data Science & Financial EngineeringISAE-SUPAERO2020Ecole intégrée à la suite du Concours Commun Mines-Ponts et à deux années de classes préparatoires (MPSI-MP étoile) : - Spécialisation en Data Science et Ingénierie financière - Mathématiques appliquées à la finance Finance de marché - Deep learning, réseaux de neurones - Projet d'analyse de sentiments des marchés financiers en Python
Certifications
- Proficiency in KNIME Analytics Platform for Data ScientistsKnime2022
- Azure Databricks & Spark For Data Engineers (PySpark / SQL)Udemy2024