Freelancer profile translated to English.
Back to original languageAbout Fayçal
Data Engineer/Data Scientist/Data Analyst, with solid experience in data science, machine learning, deep learning, design and deployment of prediction pipelines, parsing, classification, normalization, and in Data Scraping, Data analysis, Data Viz, Data Wrangling/Cleaning.
I have perfect command of Python/Pandas, SQL, Pytorch, TensorFlow/Keras, Sklearn, NLP Flair, Transformers, Scrapy, Scrapy-splash, Power BI, GoogleAds API, Retool, Google Looker Studio, Azure, GCP, API, GoogleAds API, FastAPI, PostgreSQL, RabbitMQ ...
Graduated from Ecole Polytechnique de Paris, I pursued a long career as a Project Manager in Information Systems and in implementing ERPs.
My passion for AI, Machine Learning, Data Science, Data Engineering, Data Analysis, and applied mathematics, led me to pursue a Master's degree in Data Science/AI from Paris-Dauphine, which I obtained with honors in 2021.
Researcher and Consultant at heart, I prepare data as a Data Engineer, then I try to make data speak by putting it at the service of clients' needs and objectives by using my various hats as Data Scientist, Machine Learning Engineer, Data Analyst, or SI/BI/BD Consultant.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- XtramileData ScientistSOFTWARE PUBLISHINGAugust 2021 - Today (4 years and 10 months)Paris, France
- Design and development of a majorBI, ETLproject:
Data: clicks, conversions, costs, CTR, CPC, CPA... of job offers on job boards and channels via API, web, scraping, emails...Dashboards, Reports, and recommendations.(Azure, PowerBI, Dax, Power Query, Looker Studio, API, Retool, Javascript, SQL, Postgresql)- Design, development of apipelineand aclassification/normalization modelfor job offers by profession.
Development of a job repository (based on ROME 4) for job offers: exhaustive, representative... Constitution of a labeled dataset of job offers (by web scraping, API, generated by ChatGPT API).Development through training of an automatic classification model using Flair NLP, Pytorch, Transformers, deep learning, RabbitMQ.- Design, development of apipelineand aparsing modelfor job offers by sequence labeling
NER: Named Entity Recognition). Flair NLP: sequence labeling.- Determination of a job repository for job offers,
constitution of a labeled dataset (scraping) of job offers andimplementation of an automatic classification model for job offers by profession.- State-of-the-art in embedding, NLP, Transformers and mastery
of FlairNLP, SpaCy frameworks- Scraping of performance data (Google Ads API, APIs, Hidden API, Scrapy, Scrapy-splash, Gerapy, Crawlab).
- Université Paris Dauphine PSLTeacher in Master's Degree (M2 and M1) at Université de Paris Dauphine PSL: Big Data and Artificial IntelligenceEDUCATION AND E-LEARNINGJanuary 2022 - Today (4 years and 5 months)Tunis, TunisiaCourses in NLP, Pytorch, Transformers, Deep Learning,Generative AI, Sentence Similarity...Machine Learning Project Courses: Recommendation System, Scoring, XGBoost, Logistic Regression,SVM...Spark, PySpark, Scala
- Groupe Suisse : Business Koncept - Tunis-GenèveERP / Data Project Manager, Business Analyst Consultant, Data AnalystSOFTWARE PUBLISHINGJune 2013 - July 2021 (8 years and 2 months)Tunis, TunisiaProjects:Finance / General Accounting / Management Accounting and Budgetary AccountingPayroll Management / Activity Time Management / Resource ManagementSales Management, Ticketing, Purchasing Management,CRMWarehouse Management, Inventory ManagementProduction Management, Supply Chain
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Education
- Master 2 IASD: Artificial Intelligence, Systems, Data ScienceUniversité de Paris Dauphine2021IA, Data Science, Big Data, Machine Learning, Deep Learning, Reinforcment Learning, Computer Vision. Optimization for Machine Learning, ML for Big Data ... Data Wrangling, Data Cleaning, Data Streaming. • Projets : o Challenge Deep Learning sur la plateforme ZINDI (Python, Keras), Embedding, NLP https://zindi.africa/competitions/instadeep-enzyme-classification-challenge/leaderboard Classement parmi les 15 premiers. o Competition Kaggle : Plant Pathology 2021, Computer Vision (Python, TensorFlow/Keras, Pytorch/Fastai, Transfer Learning: ResNet, InceptionResNet, MobileNet, EfficientNet): https://www.kaggle.com/c/plant-pathology-2021-fgvc8 https://github.com/faycal2011/Deep-Learning-Computer-Vision o Projet deep learning , images segmentation : modèle U-Net o Deep Q-learning (projet d’apprentissage par renforcement, Python) o Classificateur et Réseaux Bayésiens o Saturation par inférence (projet Python pour le web de données). o Projet Big Data CCF : Spark, PySpark, Scala, Databricks , MapReduce. o Projet de Data Science : Tesla Stock Price Prediction (Python, CRISP-DM, LSTM, ARIMA). o Projet Big Data: K-means en Scala, Spark, Dtabricks, Python. o Projet : Monte Carlo Tree Serach (MCTS) , Pyhon o Projet Deep Learning : NLP, Python, ,Keras o Mini-Projet Langage R (analyse des associations entre variables catégoriques).
- Engineering DegreeEcole Polytechnique de Paris1983
Certifications
- Microsoft Certified: Azure FundamentalsMicrosoft2024