Freelancer profile translated to English.
Back to original languageAbout Okay
Okay holds a PhD and a postdoctoral degree in Data Science, Behavioral Microeconomic Modeling, and has over 15 years of experience in the field. He has developed strong expertise in applied econometrics, with a particular focus on prediction, forecasting, machine learning model personalization, and agile methodologies for the development of advanced artificial intelligence solutions and platforms.
Throughout his career, he has successfully designed and implemented numerous AI solutions for B2B and B2C applications. His exceptional problem-solving abilities, combined with strong management skills, have enabled stakeholders to develop reliable and autonomous products. Recognized for his enthusiasm and ability to translate scientific expertise into practical AI applications, Okay consistently inspires and motivates his colleagues.
- Technical and Functional Skills
o +15 years of experience in Data Science and Data Analysis
o Expert in statistics, behavioral analysis, and applied microeconomics
o Scientific and technical validation of AI solutions
o Project Management
o Team Management
o Writing skills: synthesis, reports (French, English)
o Coordination
Methods mastered:
o Machine Learning methods
o Reinforcement Learning
o LLM, NLP
o Recommendation Engine
o Econometric Models (cross-sectional and time series data)
Technologies / Ecosystems mastered:
o Python, SAS, STATA, R
o Hadoop, Scala, and Spark
Certifications:
o ISO 27001 Cyber Security-Lead Implementer
o ISO 27005 Risk Manager
French
Fluent
English
Native or bilingual
Turkish
Native or bilingual
Remote only
Primarily works remotely
Experience
- Deep Meaning Data LaboratoryData Science Project ManagerDIGITAL AND ITMay 2017 - April 2018 (11 months)- Development of fraud detection models based on ML, DL by integrating econometric analysis (International Transactions (SWIFT, SEPA-ISO20022) and credit card).- Analyze and process complex datasets- Design a fraud detection model that classifies false negative transactions, achieving 100% recall- Test Machine Learning and Deep Learning methods (convolutional neural networks, TensorFlow, Theano)- Identification of abnormal behaviors in emails
- TRS GroupsData and Product Pricing Strategy ConsultantTRAVEL AND TOURISMAugust 2011 - July 2015 (4 years). Manage data storage. Program the deployment of the new product lifecycle. Predict demand elasticity for new products and optimize pricing:- Extract insights from raw data to better capture and analyze consumer trends- Create advanced pricing models considering customer profiles and well-being- Use econometric models on data to overcome the cold start problem- Interpret information from a series of database surveys to make predictions and recommendations
- Aquila Consulting Big Data, data science, data gouvernance & InfrastructureExpert Data ScientistDIGITAL AND ITApril 2018 - February 2019 (10 months)- Contract analysis (identification of signatures, dates, penalties, duration, etc.)- Prediction of financial credit risk using NLP and NLU analysis from credit rating agency ratings and press articles including financial information.- Econometric implementation in "deep learning" for price prediction based on customer/product pair classification.- Prediction of age and gender of website visitors.- Automatic labeling of objects based on YOLO (real-time and video stream constraints)- Recognition of age, gender, and emotion from facial detection (Real-Time Neural Networks for age, emotional and gender classification from 2017; testing and optimization of artificial neural network layers)- Calculation of document compliance score for templates (Document classification, Information extraction, Document compliance score calculation, Document similarity.)- Automatic processing of maintenance tickets (Identification of criticality/priority level, Root cause search, Suggestion)- Extraction of tables from documents with PDF extensions.- Creation of a recommendation engine for the automotive sector.- "Web scraping" solution and text analysis in Python to better understand customer behavior.- Technical documentation for various projects.- Technical interviews with data scientists.
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Education
- Postdoctoral Research AssociateParis I Panthéon - Sorbonne (CES / CNRS )2018•Détection des agents économiques qui participant à l’économie informelle -Utilisation des méthodes microéconomie appliquée et les réseaux de neurones convolutifs pour améliorer la classification des comportements. -Développement d’outils statistique pour transformer et combiner les données •Mesure économétrique du PIB élargi en incluant des valeurs d’utilisation du temps monétaire et le revenu non-déclaré -Évaluation pour la France, États-Unis, Pologne, Canada et Turquie
- Master Data ScienceEcole Polytechnique2017Mémoire de fin d'étude : d’amélioration d’un moteur de recommandation existent avec des méthodes économies comportementales. -La recommandation « hédonique » utilise des algorithmes hybrides économétriques. -Intégration de plusieurs techniques : text-mining, scoring émotionnel.
Certifications
- ISO 27001Professional Evaluation and Certification Board(PECB)2020
- ISO 27005Professional Evaluation and Certification Board(PECB)2020