Freelancer profile translated to English.

Description

Data Engineer / Data Analyst with over 2 years of experience, specializing in data pipeline automation, data modeling, and data visualization. Strong expertise in Python, SQL, GCP, BigQuery, and BI tools, with a proven ability to transform complex data into reliable decision-making indicators.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Nantes (up to 50km)

SEARCH-Factory
Data Engineer / Data Analyst
TECH
September 2023 - Today (2 years and 9 months)
Nantes, France
Data Pipeline Automation and Reporting in an Agile Environment
• - Development of automation scripts for data extraction from various marketing and analytical sources
• - Design of automated processes for data cleaning, transformation, and standardization to ensure data quality and consistency
• - Structuring and storage of cleaned data in secure and optimized environments for analysis
• - Creation of interactive dashboards for real-time monitoring of performance and key indicators
• - Implementation of automated alert systems to detect anomalies or unusual variations in strategic KPIs Technical Environments: API, Python, SQL, Google Cloud Platform (GCP), BigQuery, Looker Studio, Power BI, JavaScript, Google Analytics 4, Google Tag Manager
Looker Studio Python SQL Google cloud
Laboratoire des sciences du numérique de Nantes
Data Scientist
February 2022 - August 2022 (6 months)
Nantes, France
Development of a facial expression recognition system
• - Analysis of the Aff-Wild dataset and extraction of facial features using the pre-trained InceptionV3 model
• - Training and optimization of the network through Fine-Tuning to improve detection accuracy and expression recognition Technical Environments: Python, Embeddings, Deep learning, TensorFlow, Keras, Scikit-learn, OpenCV
SFM Technologies
Data Scientist
June 2021 - August 2021 (2 months)
Tunis, Tunisia
Development of an online course recommendation system
• - Extraction of data from two YouTube channels via API and storage of collected data on MongoDB
• - Application of content-based filtering and algorithm Technical Environments: Python, MongoDB, scikit-learn, scipy, Matplotlib, plotly

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