National Student Data Corps: October 2021 Data Science Career Panel
Do you like to solve problems, but wish you knew how data could help you? Are you thinking about pursuing data science but don’t know where to start? Learn more about why you should leverage data science for good. Newly launched by our National Student Data Corps, the Data Science Career Panel webinar series features experts from academia, government, industry, and nonprofits who share their experiences learning and using data science. These virtual events aim to highlight the wide range of educational opportunities and career paths available in data science and data analytics.
Join us at our upcoming Data Science Career Panel virtual event on Friday, October 29, 2021, 3-4 pm Eastern Time to hear the following speakers discuss their career experiences in data science.
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Columbia University Undergraduate and Northeast Big Data Innovation Hub Student Assistant Benjamin Sango and Columbia University Undergraduate and National Student Data Corps Project Coordinator Haleigh Stewart
Yoni Malchi, World Wide Technology
Yoni Malchi is a Managing Director in World Wide Technology’s (WWT) Business and Analytics Advisors practice and the Head of their AI Research & Development program. In this role, he leads engagements with Fortune 500 customers trying to become more data-driven by leveraging AI/ML techniques to solve critical business problems. Prior to WWT, Yoni was an Executive Director at JPMorgan Chase in their Intelligent Solutions division working closely with all of the lines of business on enhancing their AI/ML capabilities and helping design and build their data lakes and data governance platforms. He has a Ph.D. in Mechanical Engineering and worked at the Aerospace Corporation for four years prior to changing careers into data-science-focused consulting.
Brandon Sepulvado, NORC at the University of Chicago
Currently a data scientist at NORC at the University of Chicago, Brandon Sepulvado uses machine learning and statistics to derive actionable insights from data. Brandon has considerable experience designing and leading research as well as developing tools and methods that improve organizations’ decision-making capacities. His areas of specialty with data science are natural language processing and network analysis, and he regularly programs in Python, R, and SQL and uses the scikit-learn, PyTorch, and TensorFlow frameworks for machine/deep learning. Brandon’s work has been funded by the National Science Foundation, a Fulbright fellowship, the Government of France, and the Countway Library of Medicine (Harvard/Boston Medical Library). Brandon received his Ph.D. from the Department of Sociology at the University of Notre Dame, where he was also affiliated with the Interdisciplinary Center for Network Science and Applications (iCeNSA; now it is called the Center for Network and Data Science) and am a previous affiliate of the Groupe d’Étude des Méthodes de l’Analyse Sociologique de la Sorbonne (GEMASS) in Paris, France.
Asya Spears, Rose Data Studio
Asya Spears is the founder of Rose Data Studio, a data literacy and storytelling consulting agency for Black female data analysts and public healthcare professionals. Students, professionals, universities, and nonprofits count on Asya to help them see, sift, and present data empathetically and fortify their storytelling skillset. Known as the Chief Encouraging Officer of data, Asya’s love for numbers is derived from a childhood passion for math turned into a desire to democratize data access and analysis. A firm believer that data can and should be another language we communicate with, she’s an expert in learning how to use data to creatively approach your career, pivot, and help others easily contextualize complicated concepts by teaching them what to look for in the data. Asya is a Ph.D. candidate at the Pardee RAND Graduate School. She earned her BS in Mathematics from Spelman College and her MS in Biostatistics from the Fielding School of Public Health at UCLA.