CV du
consultant

BDD

BI Data dataset

Connaissances fonctionnelles

Data Science Data scientist machine learning Cloud Microsoft office Performance WEB

Langages

PYTHON Angular C CSS3 Docker Flask HTML5 JAVA JAVASCRIPT Keras MongoDB NodeJS Numpy Pandas Pytorch R scala Selenium SQL TensorFlow TypeScript

Méthodes

AGILE OpenCV SCRUM

Réseaux et Middleware

AWS

Systèmes

GIT LINUX

PROFESSIONAL EXPERIENCE
Machine Learning Engineer - Multimodal
Conversational AI (Chatbot)
Valtech
07/2022 - 12/2022,
Established a state of the art research on the different multimodal models Ensured data collection (internal & external: through web
scraping using Selenium, BeautifulSoup & requests)
Developed custom solutions for data cleaning, analysis, exploration and visualization (Python, Pandas, Numpy, Matplotlib, Seaborn & Power BI)
Improved baseline multimodal models (CLIP of OpenAI, OFA &
FashionVil) for image-text alignment to create a conversational
AI (Python, Pytorch, Transformers, Hugging Face, Git)
Developed a web application to observe the performance of our models, to evaluate them and to create datasets easily
(JavaScript, Flask, Angular, HTML5, CSS3)
Documented the process and the results (of both technical and
scientific parts)
Data Scientist - Recommendation system
Computer Science Research Laboratory (LRI)
02/2020 - 07/2020, Web scraped imdb data (Python, Scrapy)
Cleaned, analysed and created a dataset of over 200k records
(Pandas, Matplotlib & Seaborn)
Bibliographic research on different dimensionality reduction methods Proposed adapted data reduction methods and developed a user-based collaborative recommendation system based on dimensionality reduction using an auto-encoder and principal components analysis (Python, Scikit-learn, keras)
EDUCATION
Master's degree in Programming and Correct
Softwares
Sorbonne Paris Nord University
2020 - 2022,
Modular and Resilient Programming
Image & Text Processing Algorithms Master's degree in Artificial Intelligence and
Information Processing
Badji Mokhtar University
2018 - 2020,
Artificial Intelligence and Machine Learning Methods Statistical Data Analysis Bachelor in Information System
Badji Mokhtar University
2015 - 2018,
SKILLS
Python Java Scala R C SQL
MongoDB Machine Learning Deep Learning
NumPy Pandas igraph Pytorch TensorFlow2
OpenCV Scikit-learn Keras Data Visualization Matplotlib Seaborn Web Scraping Selenium
BeautifulSoup requests Scrapy JavaScript
TypeScript Nodejs Flask FastAPI Angular
HTML5 CSS3 Git Bitbuckets Docker
Linux Microsoft Power BI Microsoft Office
AWS CLOUD Agile Scrum
PERSONAL PROJECTS
Time Series Forecasting: Air Traffic Passenger Data (05/2022)
Comparison of each method (statistical, ML, Neural Nets) performance in
solving time series forecasting problem of airplane passenger data (Python & scikit-learn)
Semantic Image Segmentation using FCN - MRI Images
(12/2021)
Performed image segmentation over cardiac MRI images to determine whether a region is a part of the left ventricle (LV) or not (Python &
TensorFlow)
Image Analysis and Deep Learning: U-nets for Crowd Counting
(09/2019 - 12/2019)
Crowd counting is intended to count or estimate the number of people
forming a crowd. U-net is learning how to produce density maps, allowing
the number of people to be deduced by summing their pixels (Python &
PyTorch)
EXTRA-SCHOLAR ACTIVITIES/
CERTIFICATES
Python Instructor at ReachSci - Volunteering
(09/2021 - Present)
Designed and delivered comprehensive Python courses tailored to biology
students, empowering them to leverage advanced programming techniques in
data analysis, modeling, and scientific research. CERTIFICATE OF COMPETENCY in Fundamentals of Deep
Learning by NVIDIA (06/2022)
Explored the tools involved in training deep neural networks and leveraged
transfer learning models to solve Deep Learning challenges quickly
LANGUAGES
English
Full Professional Proficiency
French
Full Professional Proficiency
INTERESTS
Innovation & new technologies Travelling