Accelerate Your Data Science Career

Carlos Afonso has 5+ years of experience using Data Science and Machine Learning to solve business problems for diverse organizations (from nonprofits to Fortune 100 companies) in various industries, including healthcare, finance, education, and technology. Carlos has a multidisciplinary STEM academic and research background, with a BSc and MSc in Physics Engineering from IST, Portugal; one year of doctoral training in Computational Biology at IGC, Portugal; and experience conducting postgraduate research in Biomedical Engineering at the University of Oxford, England. Passionate about the power of Education to transform people’s lives, Carlos has been teaching and helping others achieve their goals throughout his whole career.

Gabriela is a Data Scientist with a Ph.D. in Biomedical Sciences who enjoys the challenges of solving complex problems, finding meaningful relationships within the data, and providing actionable recommendations and insights. Before joining NYC Data Science Academy, she was a scientist in the field of genetics, developmental and cell biology. She conducted research as a Postdoc at the University of Minnesota for 5 years, where she also gained teaching experience. Her scientific work has resulted in 7 publications in highly rated scientific journals. She cherishes spending time with her family, salsa dancing, yoga, rock climbing, and reading mystery novels.

Jay Lee has been a life-long marketing expert specialized in quantitative analysis. He has taught various marketing classes at Purdue Univeristy Krannert School of Management and have worked in several companies, Korea Telecom, Samsung Electronics, and dunnhumby, as a marketing analyst. At Korea Telecom, his main roles as an entry level marketing researcher were to forecast sales and traffic of communication services and analyze data for CRM or more than 20 million consumers. After his first job, Jay Lee decided to expand his knowledge in marketing by joining the Ph.D. program at Purdue University Krannert School of Management. Once graduating he joined Samsung Electronics as a senior marketing manager. During Samsung, he conducted marketing intelligence and forecasted sales for mobile markets such as smartphones and tablets. Furthermore, monitored consumer analytics of these mobile products. Following the role at Samsung, he joined dunnhumby as a senior data solution analyst. At dunnhumby, he analyzed consumer transaction data for retailer industry, implemented schemes for consumer retention and loyalty programs, and provided client solutions for big data analyses.