Machine Learning Consultant
2016 - 2018Yieldmo- Developed an innovative classification algorithm, using online learning, to predict the advertisers’ conversion rates and automate bidding strategies.
Technologies: Models, Reinforcement Learning, Scikit-learn, SQL, Java, PythonData Scientist, Ad Serving Team
2014 - 2016Yieldmo- Worked on display advertising, applying machine learning and reinforcement learning techniques to the problem of predicting click-through-rate.
- Implemented a dynamic A/B testing platform that allowed thousands of A/B tests to run in parallel.
- Used Bayesian Statistics and Thompson Sampling to redesign second-price auction rules and A/B testing decisioning.
Technologies: Models, Reinforcement Learning, Scikit-learn, SQL, Java, PythonMachine Learning Consultant
2013 - 2014Catalant Technologies- Built the first version of the matching engine from scratch using graph theory. This system recommends newly posted projects to MBA students on the platform and vice-versa.
- Ran market analysis to identify lags between offer (projects) and demand (MBA students' expertises).
Technologies: Graph Theory, Recommendation Systems, SQL, R, PythonConsultant in the Statistical Learning Team
2011 - 20121000Mercis- Developed a system in R recommending the best marketing means to reach each new customer on the website.
- Conducted analysis to build customer groups using unsupervised and supervised learning techniques.
Technologies: Clustering, Principal Component Analysis (PCA), Unsupervised Learning, Scikit-learn, Python, RAssistant Trader and Structurer
2010 - 2011UBS Investment Bank- Built a prototype tool that dynamically rebuilt a collateral portfolio using the risk of default analysis.
- Assisted the secured funding team in creating new products by running forecast tests and coming up with.
- Completed ROI and value propositions.
- Priced primary/secondary quotes and hedged currency strategies.
Technologies: Time Series Analysis, Visual Basic for Applications (VBA), RAssistant Researcher
2010 - 2010Cornell University, CFEM- Implemented a multi-agent system based on Ask/Bid and PnL data analysis simulating a stable financial market.
- Worked under the supervision of Dr. Sasha Stoikov, Head of Research at CFEM.
Technologies: Reinforcement Learning, C++, Java
Aymen Jaffry
Machine Learning Developer in Paris, France
Member since September 26, 2018
Aymen has worked for 6+ years as a data scientist, machine learning engineer, and consultant. He has worked in many industries, including finance, advertising, and online marketplaces. He greatly enjoys using machine learning and statistics to build state-of-the-art and efficient solutions. He holds an M.S. in Computational Engineering from Harvard University and a Master in Applied/Theoretical Mathematics from Ecole Centrale Paris.
Aymen is now available for hire
Portfolio
- YieldmoModels, Reinforcement Learning, Scikit-learn, SQL, Java, Python
- YieldmoModels, Reinforcement Learning, Scikit-learn, SQL, Java, Python
- Catalant TechnologiesGraph Theory, Recommendation Systems, SQL, R, Python
Experience
- Machine Learning 9 years
- Python 8 years
- Data Science 8 years
- R 8 years
- SQL 6 years
- Java 6 years
- Linux 6 years
Availability
Part-time
Preferred Environment
Git, Atom, Jupyter, Python, OS X
The most amazing...
...thing I've built is a system using machine learning and statistics to predict 911 calls at the street level in the Boston area.
Employment
Skills
Languages
SQL, Python, Java, R, Visual Basic for Applications (VBA), C++, JLibraries/APIs
Scikit-learn, Pandas, Matplotlib, Spark ML, TensorFlow, Keras, REST APIsTools
Jupyter, IPython, Git, Apache Airflow, AtomParadigms
Data Science, Object-oriented Programming (OOP)Platforms
Eclipse, MacOS, Linux, Docker, OS XIndustry Expertise
E-learningStorage
MySQL, Amazon S3 (AWS S3)Other
A/B Testing, Mathematics, Analytics, Big Data, Bayesian Statistics, Advertising, Machine Learning, Vowpal Wabbit, Google BigQuery, Unsupervised Learning, Deep Learning, Natural Language Processing (NLP), Reinforcement Learning, Finance, Models, Recommendation Systems, Graph Theory, Principal Component Analysis (PCA), Clustering, Time Series AnalysisFrameworks
Apache Spark
Education
- Master of Science Degree in Computational Science and Engineering2013 - 2014Harvard University - Massachusetts
- Master's Degree in Applied and Theoretical Mathematics2009 - 2013Ecole Centrale Paris - Paris, France
- Bachelor of Science Degree in Mathematics, Physics2006 - 2009Marcelin Berthelot Preparatory Classes - Paris, France
