Andrew Yakovlev

Andrew Yakovlev is a Data Science Associate at Sumitomo Mitsui Banking Corporation (SMBC Group) based in New York.1 He specializes in utilizing Python, SQL, and Machine Learning techniques to analyze large amounts of securities data for monitoring trades and preventing market manipulation.1 Andrew's competencies include SQL, Python, Java, Statistics, Machine Learning, Power BI, Azure, Financial Analysis, and Investments.1

Prior to his current role, Andrew's professional experience includes:

1. Data Analyst at Sumitomo Mitsui Banking Corporation (January 2022 - May 2022)
2. Hedge Fund Quantitative Analyst at Quantopian Inc. (January 2019 - September 2020)
3. Investment Banking Analyst at BMO Capital Markets (July 2016 - August 2018)

Andrew has also worked as an Investment Banking Summer Analyst at BMO Capital Markets and Gryfon Advisors LLC.1 He has demonstrated his data science skills by finishing in the top 6% of contestants in a Kaggle Data Science Competition, applying Random Forest and Support Vector Machine techniques for multiclass classification.1