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Sam Cohan

Machine Learning Engineer

Sam Cohan is a seasoned professional with in-depth expertise in algorithmic trading, mobile display advertising, revenue forecasting, ed-tech, and recommendation systems.

He has a strong track record of building high-quality machine learning and analytics platforms from scratch, specializing in event prediction using GLM, tree-based models, and deep learning.

Sam is highly skilled in mathematical modeling, Monte Carlo simulation techniques, and proficient in managing all project phases from hiring to design, development, testing, and maintenance.

As an adept programmer, he excels in the Python stack and big data technologies such as Hive and Spark, with prior experience in C++ and C#.

Educationally, Sam holds a Master of Financial Engineering from Haas School of Business, UC Berkeley, and a Bachelor of Applied Science from the University of Waterloo.

Professionally, Sam has held notable roles including Principal Machine Learning Engineer at Udemy, Founder of Sam Cohan Consulting, Senior Staff Machine Learning Engineer at Udemy, and Quant Algo Trader at Galois Capital, among others.

His career journey has seen him contribute in various capacities, such as Founder at VegaRelay, Founding Data Scientist at Liftoff, Inc., and Senior Data Scientist and ML Engineer at Aviso, Inc.

With experience ranging from High Frequency Treasuries Trading Associate Intern at Societe Generale to Systematic Trading Systems Developer at Barclays Capital, Sam has diversified expertise in the field.

His early career includes roles like Data Mining Developer Intern at Pitney Bowes, Analyst Developer Intern at Barclays Capital, Handheld GPU Developer Intern at NVIDIA, and Systems Analyst Intern at Deloitte Consulting.

Sam Cohan
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Location

Mountain View, California, United States