Benjamin Jack

Benjamin R. Jack is an accomplished data science generalist and a proficient team lead with extensive experience in translating business challenges into data-driven and machine learning solutions across diverse industries such as finance, telecom, and healthcare. He engages in stakeholder consultations, data collection, processing, model development, deployment, and upkeep to deliver innovative and efficient outcomes.

Benjamin's technical expertise spans a variety of programming languages including Python, R, and SQL, as well as tools like pandas, jupyter, scikit-learn, Git, and Docker. He is adept in working with data systems like PostgreSQL, Oracle, MongoDB, and Neo4j. His statistical and machine learning proficiency includes ensemble methods like Random Forest and XGboost, time series analysis, natural language processing, computer vision, clustering, graph analytics, survival analysis, and statistical inference.

With a rich academic background, Benjamin holds a Doctor of Philosophy - PhD in Cell/Cellular and Molecular Biology from The University of Texas at Austin, a Bachelor's Degree in Biochemistry from the University of Miami, and has also studied Political Science, Sociology, and Philosophy at the University of Sussex.

Throughout his career, Benjamin has held key roles in various organizations ranging from Senior Scientific Application Architect at L7 Informatics to Principal Data Scientist at Valkyrie. His journey also includes positions such as Graduate Teaching Assistant, Teaching Assistant, and Graduate Research Assistant at The University of Texas at Austin, alongside roles like Senior Laboratory Technologist with the American Red Cross and Undergraduate Research Assistant at the University of Miami.

Benjamin's professional expertise extends to a diverse range of industries including Construction & Real Estate, Maritime, Telecom, Media, Healthcare, and Private Equity, showcasing his versatility and adaptability in addressing industry-specific challenges with data-driven solutions.