Kweweli Togba Doya

Data Scientist @ Milliman

About Kweweli Togba Doya

Kweweli Togba Doya is a Data Scientist proficient in Big Data technologies and specializes in integrating machine learning and AI solutions with a background in statistics, economics, and finance.

Work at Milliman

Kweweli Togba Doya has been employed at Milliman as a Data Scientist since 2021. In this role, he applies his expertise in data science to deliver analytical solutions. His work involves utilizing advanced data technologies and methodologies to support various projects within the organization. Milliman is known for its focus on actuarial science, risk management, and technology, making Doya's skills in Big Data and machine learning particularly valuable.

Education and Expertise

Kweweli Togba Doya holds a Master of Science in Data Science from the University of St. Thomas, which he completed from 2018 to 2020. He also earned two Bachelor’s Degrees in Mathematics and Statistics, and Economics, both with magna cum laude honors, from the University of North Dakota between 2014 and 2017. His educational background equips him with a solid foundation in statistics, economics, and finance, which he integrates with his data science skills.

Background

Before joining Milliman, Kweweli Togba Doya worked in various roles that contributed to his data science expertise. He served as an Asset Management Specialist at Project for Pride in Living for eight months in 2018. Following that, he worked as a Research Analyst at Century College from 2019 to 2022, where he further developed his analytical skills. He also briefly worked at MTS Systems Corporation as a Data Scientist in 2019.

Technical Skills

Kweweli Togba Doya is proficient in several Big Data technologies, including Hadoop, Spark, NIFI, Sqoop, and Druid. He has experience with AWS for deploying data solutions and is skilled in using MS SQL and Git for data management and version control. His expertise extends to machine learning, deep learning, recommender systems, and natural language processing (NLP), allowing him to implement advanced analytical solutions.

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