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.

Priya Laxman is a data professional with four years of industry experience specializing in forecasting, predictive modeling, data visualization, data modeling, digital analytics, and supply chain analytics. She was a digital data analyst at MYER, where she analyzed data to uncover insight used to improve the digital customer experience and drive business outcomes. At 460degrees, Priya worked as a data consultant for clients such as VicTrack, Telstra, and DBM Consultants. She is also proficient in tools like Tableau, Google Analytics, Data Studio, BigQuery, Hotjar, SQL, Python, R, Power BI, SAS, Python, Adobe Analytics, and Net Insight.

As a data scientist, Peter Faase has expertise in solving complicated data problems and working with Big Data to generate useful insights, intelligence, and applications. Combining his strong communication, presentation, and analytical skills, he has created data-driven solutions for organizations by designing and running complex data analyses trajectories using machine learning, predictive analyses, Artificial Intelligence (AI), and other statistical and mathematical techniques. He is skilled with tools such as Python, MySQL, SPSS, and Excel and also familiar with Agile Scrum techniques.

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.

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.