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Theophilus Ola

Research Scientist -- Alexa OS at Amazon Lab126

Theophilus Ola is a highly skilled data scientist with expertise in credit risk analytics, statistical and numerical modeling, and proficiency in various programming languages and tools including Python, SAS, SQL, and more. He possesses advanced modeling skills in decision trees, TRIAD, and predictive modeling using logistic regression. Ola is comfortable with Unix/Linux and Windows operating systems and is adept at working with large and complex datasets within relational databases.

Education-wise, Ola holds a Master of Business Administration from Quantic School of Business and Technology, a Master of Arts in Financial Economics from Temple University, and a Master of Science in Applied Mathematics from the University of Washington. He also completed a Bachelor of Science in Mathematics and Physics from the University of Toronto, St. Michael's College.

With an extensive professional background, Ola has held roles such as Senior Data Scientist at Pacific Life, Research Scientist at Amazon Lab126, Business Intelligence Engineer at Amazon, Senior Business Analysis Manager at T-Mobile, Vice President Credit and Portfolio Risk Management at Citi, and Quantitative Analysis Manager at Capital One, among others. He has accumulated experience in credit card banking, retail banking, and mortgage banking.

Ola's specialties lie in credit risk analytics and various modeling techniques. He is known for his excellent problem-solving skills and the ability to devise complex solutions. His career has spanned across top organizations and includes experience in financial institutions such as Freddie Mac, JPMorgan Chase & Co., and Capital One.

Overall, Theophilus Ola is a well-rounded professional with a strong background in data science, credit risk analytics, and mathematical modeling, making him a valuable asset in the fields of finance, technology, and analytics.

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Location

San Jose, California