Dr. Thomas Torku, Ph.D., is the Chief Administrator for the BootCamp and a data scientist at a leading financial institution in the USA. With expertise in large language model development, data science, and statistical modeling for market strategies, he holds a Ph.D. and MS in Mathematical Sciences. Dr. Torku excels in deep learning, predictive modeling, NLP, time-series forecasting, and epidemiological data analysis. He runs the entire BootCamp program with the rest of the team, ensuring a comprehensive and collaborative learning experience. He is also a skilled educator, mentoring students to succeed in data hackathons.
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Abayomi Fashina is an accomplished Data Engineer, holding a masters degree in computer science from Austin Peay State University. With nearly two years of impactful experience at Health Catalyst Inc., he has made significant contributions to the healthcare industry in the United States.

During his tenure at Health Catalyst Inc., Abayomi demonstrated a mastery of data utilization, leveraging insights to drive innovations within healthcare systems. His technical proficiency and strategic acumen enabled the development of robust data solutions, effectively enhancing operational efficiencies and improving patient outcomes. Abayomi is an ML/AI enthusiast.

Prior to his role at Health Catalyst Inc., Abayomi excelled as a seasoned Product Manager, overseeing multiple successful products throughout his career. He spearheads the bootcamp students engagement in conjunction with the team, guaranteeing an immersive and cooperative learning environment.
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Kenneth Pieterson is a data-driven professional with a strong background in business analytics and data science. He holds an MBA in Business Analytics from East Tennessee State University and a Bachelor of Commerce in Marketing from the University of Cape Coast, Ghana, where he graduated with First Class Honors.

Pieterson's technical expertise spans data analysis, machine learning, and statistical modeling, with proficiency in Python, R, SQL, and data visualization tools like Power BI and Tableau. His portfolio includes notable projects such as assessing market potential for Alfatec Industries, developing demand forecasting models to optimize supply chains, and analyzing rating discrepancies on movie platforms. His certifications in business analysis, product management, and data science further attest to his commitment to professional growth and excellence.

His professional experience includes roles as a Graduate Assistant at East Tennessee State University, where he contributed to research on Supply Chain 4.0 and its implications for Industry 4.0. Pieterson has also worked as a Phone Verification Assistant at InfuseMedia, where he improved customer service processes and increased sales deliverables.

Pieterson's research work, particularly his study on Supply Chain 4.0 presented at the Decision Sciences Institute Conference, demonstrates his ability to analyze complex business problems and provide strategic insights. His project experience ranges from strategic management for Alfatec Industries to studying the effects of advertising on small business sales.

With a combination of strong analytical skills, business acumen, and experience in both academic and professional settings, Kenneth Pieterson is well-positioned for roles in data science, business analysis, and strategic planning. His ability to translate data into actionable insights makes him a valuable asset for organizations looking to leverage data for business growth and operational excellence.

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