I am a driven pattern recognition and data analysis professional with a wide range of experience in Machine Learning, Modeling, and Forecasting. My teammates and colleagues know me as a motivating person, seeking innovative solutions for puzzling problems throughout my journey at Columbia University in the City of New York, as well as previously at Williams.Dedicated, efficiency-oriented, and constantly looking to add advanced modeling and data mining techniques to my toolbox.Skills and specialties: Data Science, Machine Learning, Systematic Trading, System Design, Analytical Skills, Communication Skills, Quantitative Aptitude, Critical Thinking, Maths Research.
Columbia Artificial Intelligence And Robotics Lab
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Machine Learning Graduate ResearcherColumbia Artificial Intelligence And Robotics Lab Jan 2023 - Present
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Quantitative AnalystClsa Jun 2022 - Sep 2022Hong Kong, HkAs a quantitative researcher at CLSA, my team and I were responsible for ETF trading. My initial task was to write a script to generate ETFs' fair values and premiums. Using historical data, I then moved to premium projection and modeling, which was used to develop and parameterize trading algorithms. -
Student MentorWilliams College Sep 2021 - Jul 2022Williamstown, Ma, Us -
Mathematics ResearcherWilliams College Sep 2021 - Jun 2022Williamstown, Ma, UsDeveloped a new framework for representing Integer Partitions through extensive, algorithmic exploration of the Triangle Partition Maps, bridging between Multidimensional ContinuedFractions, Integer Partitions, and Algebraic Geometry. Research culminated in research paper published on the arXiv generalizing Euler's partition theorem. -
Mathematics & Language TutorWilliams College Sep 2020 - Sep 2021Williamstown, Ma, Us -
Data ScientistWhooo'S Reading Jun 2021 - Aug 2021San Diego, California, UsLeading data analysis projects in an educational startup providing an AI-empowered platform. The main goal was to study the users through their activity and to build a classifying system that would allow for complex user-retention analyses and intervention.
Wael Baalbaki Education Details
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Columbia UniversityData Science -
Williams CollegeMathematics And Computer Science -
Sacre Coeur GemmayzeMathematics And Statistics
Frequently Asked Questions about Wael Baalbaki
What company does Wael Baalbaki work for?
Wael Baalbaki works for Columbia Artificial Intelligence And Robotics Lab
What is Wael Baalbaki's role at the current company?
Wael Baalbaki's current role is Quantitative Researcher ◆ Columbia University - Master of Science in Data Science ◆ Interested in Big Data, Machine Learning, and Computational Engineering.
What schools did Wael Baalbaki attend?
Wael Baalbaki attended Columbia University, Williams College, Sacre Coeur Gemmayze.
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