Kate Tyshchenko is a data scientist with five years of management consulting experience in analyzing and drawing insights from various types of data, including financial, risk, marketing, economic, and behavioral data. For the past two years, she has been working on a marketplace for group dinners, designed and deployed an MVP and used behavioral microtargeting to develop marketing campaigns which helped her to determine the product-market fit and acquire users over a short period. At Deloitte, Kate has evaluated the effectiveness of various startup and technology funding programs offered by the Government of Ontario through market research, financial analysis, and data analytics.

Fernando Ferrer is a data consultant specializing in big data analytics and statistical software implementation. He has expert knowledge of Postgres, Python, Redshift, Oracle, Hadoop, SQL, and MongoDB. His clients include AddShoppers, SkillerWhale, AppviewX, Sante Circle Health, SERMO, and Government of Estonia, among others.

Pete Melgren is a data scientist with seven years of experience working on end-to-end predictive analytics projects. He has consulted with cross-industry clients on the use of data science concepts such as machine learning, data mining, business intelligence, and predictive analytics to meet their business needs. As a former data scientist for the Cincinnati Reds, he performed in-depth research of advanced baseball physics measures using statistical techniques that include linear regression, linear classification, mixed models, GAM models, and machine learning methods such as XGBoost. Pete also has advanced knowledge of SQL, R, Python, and AWS.

Sagar Goli is a data and analytics expert with experience in implementing data warehousing and business intelligence solutions specializing in Microsoft Business Intelligence practice. His fields of expertise include data and analytics, data warehousing, business intelligence, data integration, data governance, master data management, visualizations, and operational reporting. He has worked for big companies such as Avanade, Pfizer, Marlabs, Eli Lilly, and Progressive Insurance.

Heli Shah is a solutions-driven data analyst with over four years of experience in leading cross-functional data in development, documentation, and delivery of process innovations driving the attainment of business goals. Her areas of expertise include statistical analysis, machine learning, data analytics, data visualization, data science research, data reporting, data mining and cleaning, and preparation. At The Madison Square Garden Company, she was responsible for the development and delivery of ad-hoc and scheduled reports and data sourced from the Oracle Fusion Human Capital Management system. Heli also worked as a data analyst at The New School in New York, where she created highly segmented reports and data extracts for development, alumni relations, and other departments throughout the university.

Aniruddha Madurkar is a technical writer with a background in data science. He specializes in writing on data science, machine learning, and AI topics. Aniruddha is also a contributor to the data science publication, Towards Data Science. As a senior data scientist, he builds end-to-end enterprise machine learning systems for Fortune 500s and startups. At Fulcrum Analytics, he worked on evolving customer segmentation model for a healthcare and insurance provider to include entire business units, greater explainability, and faster inference.