Biography
I'm a passionate engineer in Statistics and Data Analysis, graduated from ESSAI .
During my internship, I immersed myself in the realm of data science and machine learning, acquiring a wealth of knowledge and skills.
Engaging in diverse tasks such as web scraping, natural language processing, and the development of chatbots and recommendation systems, I honed my expertise in these domains.
Following this enlightening experience, I embarked on my professional journey at the renowned consulting firm Ernst & Young. Within the banking and insurance sectors, I delved into credit risk management, deftly predicting default probabilities and churn rates using tools like R, Python, and SQL.
Concurrently, I spearheaded a customer segmentation and targeting project, further expanding my repertoire. Seeking new challenges, I then joined the Positive Thinking Company, where I embarked on ventures across industries ranging from brick production and automobile to banking. My primary focus revolved around leveraging advanced NLP techniques and harnessing the power of large language models.
Throughout these experiences, I have consistently demonstrated my passion for data science and machine learning while continuously pushing the boundaries of innovation.
Skils
Data Science & Miscellaneous Technologies
- A/B Testing
- Data Science Pipeline
- Git
- Docker
Programming Languages & Big Data
- Python
- R
- SAS Viya
- Spark
- Hadoop
Cloud
- Azure
- AWS
- GCP
- Dataiku
- SAS Viya Machine Learning
DataViz
- Tableau
- Microsoft Power BI
- Plotly-Dash
- SAS Visual Analytics
API's
- Flask
- FastAPI
- Django
ETL & Databases
- Talend
- SSIS
- SQL Database (MySQL, SQL server)
- NOSQL Database (MongoDB)
Certifications
SAS Certified Specialist: Base Programming Using SAS 9.4
Programming for SAS Viya
Dataiku ML Practitioner
Dataiku MLOps Practitioner
Professional Scrum Product Owner™ I (PSPO I)
Tools










Summary
As an experienced Data Scientist, I have gained solid expertise by working on a multitude of projects in various domains. I am skilled in using state-of-the-art machine learning models to solve complex problems.
What makes me an exceptional candidate is my ability to take on three key roles: Data Engineer, by creating efficient ETL (Extract, Transform, Load) processes and data pipelines; Data Analyst, by providing relevant reports; and finally, as a Predictor, by developing predictive models.
My versatile profile and passion for innovation make me an ideal candidate to tackle data challenges.
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