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.

Manu Prakash is an analytics and digital marketing expert with over four years of experience in SEO, content marketing and SEM, and a documented record of success in increasing online presence and brand awareness. He has worked at the intersection of business and data science at KDnuggets, Crayon Data, Redevon IT Technologies, and Ideas2IT. As a writer, he blogs about big data, Python, data science, and machine learning. Manu is also Google Analytics, Google AdWords, and HubSpot Content Marketing certified.

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.

Ricardo Martinez is a senior business analyst with over 28 years of experience in the travel industry. His expertise lies in business analysis/airlines and business intelligence. At Sabre Airlines, he was part of the team that supported airline customers in key tactical and operational activities to optimize business strategies. He also managed business analysis for reverse GDS and interactive air connectivity solutions as well as mobile and self-service e-commerce at the company.

Bradford Tuckfield is a data scientist with skills in statistics, programming, and machine learning. He previously worked as a senior manager of data science at American Express Global Business Travel, where he designed and coded clustering methods for an enterprise product. At Charles Schwab, he worked on model calibration and optimization, chatbots, NLP, and data analysis. Bradford is also an instructor and technical book author about data science, machine learning, and algorithms.