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Description

🎯 Data Scientist | Python • Power BI • Databricks

Hello and welcome to my profile 👋

My name is Ouissame, passionate about transforming data into concrete decision-making tools.

My background has allowed me to work in various sectors:

🏗 Construction & Environment (at Cerema, a leading public institution),

🏭 Industry (at ArcelorMittal),

📈 Marketing and performance strategy.

I design and implement tailor-made solutions for:

- Driving and visualizing performance (Power BI / Dash dashboards)

- Leveraging business data with Machine Learning (segmentation, scoring, etc.)

- Automating workflows and analyses (Python, SQL, Spark)

- Forecasting consumption or production (energy sector)

🔧 My tools: Python, Power BI, Databricks, SQL, Spark

🤝 My values: efficiency, adaptability, and clarity.

I am available for your remote or hybrid assignments.

Industry field of expertise

Languages

French
Native or bilingual
Arabic
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Toulouse (up to 50km), Montpellier (up to 50km), Paris (up to 50km)

CNAF
Data scientist
October 2022 - Today (3 years and 10 months)
- Development of Power BI Dashboards.

- Big Data for Marketing:
Optimization of marketing strategies.
Automation of marketing processes.

- Data Mining for Fraud Detection:
Development of solutions to identify fraud.

- Natural Language Processing (NLP) and Sentiment Analysis:
Processing customer and employee satisfaction surveys.

- Integration of Artificial Intelligence:
Descriptive, predictive, and prescriptive analyses for informed decisions.
Microsoft Power BI Databricks Power Apps PySpark REST APIs
CEREMA
Data scientist for climate change adaptation
CIVIL ENGINEERING
August 2021 - September 2022 (1 year and 1 month)
Blois, France
Responsible for the data science part of the MACH+ project (Maison Conforté par Humidification Plus - House Reinforced by Plus Humidification) within the Terrestrial Risks and Environmental Nuisances group.
MACH+ is an innovative and ecological solution for reinforcing homes affected by drought. It consists of humidifying the foundation soil by automatically injecting rainwater collected and stored using AI.
Tasks:
- Conducting a state-of-the-art review.
- Participation in geotechnical tests.
- Data collection and processing.
- Creation and deployment of Dashboards.
- Automation of the foundation soil humidification process.
Python Arduino Dash Electronic Design Geotechnical Engineering
Cnam Nouvelle-Aquitaine
Adjunct Professor
EDUCATION AND E-LEARNING
January 2021 - Today (5 years and 6 months)
Niort, France
Responsible for the Data Mining module for 2nd-year engineering students in the Big Data and Artificial Intelligence track.

Check out Ouissame's experience

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

Baptiste Duhen

Fullstack developer

4.6

(4)

Amed Hamou

Senior Lead Developer

(2)

Audrey Champion

Web developer

4.3

(3)

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Computer science engineer
Université de Lorraine
2020
-Gestion et traitement des données. - Simulation,prévision, optimisation. - Aide à la décision. - Visualisation. - Développement et maintenance des codes. - Analyse statistique - Intelligence Artificielle, apprentissage - Fouille de données, de graphes, de textes - Visualisation de données - Systèmes distribués et parallèles

Data Scientist

Ouissame T.

Data Scientist | Python • Power BI • Databricks

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