Freelancer profile translated to English.

Description

Senior Data Scientist with 5 years of experience, trained at CentraleSupélec School, specializing in the industrialization of AI solutions, covering scoring, NLP, and time series forecasting, with expertise in using Docker and Kubernetes. Two areas of expertise stand out in my career: advanced mastery of data marketing through Google Analytics and BigQuery, as well as in-depth knowledge of the energy sector.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Lille (up to 50km), Aix-en-Provence (up to 50km), Lyon (up to 50km)

Sia Partners
Data Scientist Consultant
CONSULTING AND AUDITS
May 2020 - Today (6 years and 1 month)
Paris, France
● DSI Enedis, Electric Load Forecasting System (SYPEL), Paris
○ Operational maintenance of the SYPEL platform for over 500 daily users, providing over 100,000 load curve forecasts for various horizons. Facilitating access to forecasts through an intuitive human-machine interface (HMI) and via APIs.
○ Product owner and developer in a scrum team of 5 people.
○ Development of multi-scale load curve forecasting models (substation, producer, consumer).
○ Management of calibrations for various time horizons, including data structuring in relational databases and orchestration of data processing workflows.
○ Development of data visualizations (dataviz) to facilitate understanding of analyses.
○ Facilitation of collaborative workshops with key Enedis stakeholders for optimal adoption and use of forecast data.

● Ministry of Finance, Saudi Arabia, Riyadh
○ Design of artificial intelligence solutions to automate and accelerate the processing of tax claims, with applications in time series forecasting, OCR, text similarity, and text classification.
○ Facilitation of UX/UI sessions and workshops to develop the user interface of applications. Implementation of Dockerization for efficient deployment on client servers.

● The French National Institute for Industrial Environment and Risks (Ineris), Paris
○ Integration of AI to facilitate the detection of polluting substances
○ Demonstration of AI's ability to assist researchers in identifying polluting substances in water and air samples.
○ Construction of a dataset and training of several identification scoring models for polluting substances.
○ Development of a web application for presenting results while allowing the user to provide feedback on scoring results for continuous improvement of the algorithm's performance.
Python SQL Kubernetes Docker Time Series Forecasting Natural Language Processing (NLP) OCR Text classification Weather Forecasts Scoring Classification
Converteo
Data Engineer Consultant
CONSULTING AND AUDITS
January 2019 - July 2019 (6 months)
Île-de-France, France
Automation and Data Management and Cloud

● Project for Samsung France Marketing Department
○ Design, automation, and optimization of an ETL (Extract, Transform, Load) pipeline using Python on Google Cloud Platform.
○ Improvement of sales data processing efficiency, facilitating its analysis by the data science team

● Project for Maeva Voyages
○ Development of a CRM datalake, and consulting for Maeva Voyages in choosing suitable cloud technologies.
○ Elaboration of a personalized data schema, precisely meeting the client's needs.
Big Query Python GCP Airflow Tableau software CRM Marketing
Converteo
Data Analyst Consultant
CONSULTING AND AUDITS
July 2018 - December 2018 (6 months)
Île-de-France, France
Data Analysis and Business Intelligence Specialist

● Project for Carrefour's Analytics Factory, France
○ Development of automated dashboards on Reeport to analyze user navigation data on Carrefour's website and application.
○ Contribution to improving user experience and the commercial performance of the product search engine, through keyword analysis.

● Project for the Digital and Marketing Department of Club Med, Paris
○ Design and deployment of attribution models (last click, first click, engagement based) to optimize digital marketing strategies.
○ Creation of a dashboard on Data Studio by manipulating raw Google Analytics data via BigQuery, enabling optimization of marketing budget by channel.

● Project for Engie's Marketing Department, Paris
○ Implementation of ETL processes on Google Cloud Platform (GCP), with storage on BigQuery.
○ Use of Python for automated data collection, and creation of dashboards on Data Studio to track key SEO KPIs.
Big Query Python SQL Google Data Studio Google Analytics SEO Airflow

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Engineering Graduate School
CentraleSupélec
2020
Diplôme d’ingénieurs, spécialité Data Science
Preparatory Class, MP
CPGE - Preparatory Classes for Grandes Écoles
2016
Classe préparatoire, MP

Professional Scrum Master (PSM I)
Scrum.org
2023
https://www.credly.com/badges/01863065-05af-49e0-bf01-49e24b6484d1/linked_in_profile
Professional Data Engineer
Google Cloud Platform
2019

Abdelmoughit Lahssini

Data Scientist | Data Marketing | CentraleSupélec

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