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Chris Curran

Data Architect
Skilled in data analysis, data visualization, research, & programming.
Chris Curran has four years of experience as a data analyst and engineer with skills in software and programming languages such as R/RStudio, RShiny, Rmarkdown, SQL, Python, Unix/Linux, and AWS Cloud Resources. His expertise lies in data analysis, data visualization, research, analytical writing, and object-oriented programming. At PatientsLikeMe, Chris implemented repeatable analytic solutions and designed dashboards to reveal data insights, including inManu Jeevan Prakash teractive visualizations.

Pete Melgren

Data Architect
Former data scientist for the Cincinnati Reds.
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.

Peter Faasse

Data Architect
Former data science manager for Career Analytics.
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.

Michael Hays

Data Architect
Expert in Django, Vue, Postgres, GCP, Kubernetes, and Firebase.
Michael Hays is a software developer with four years of experience building applications for startups and small businesses. Using Django, Vue, Postgres, GCP, Kubernetes, and Firebase, he has developed a Norwegian chatbot management platform that allows non-programmers to create their own chatbots and deploys them on their business webpage. He has also developed websites for several companies and government agencies across Texas, including the Public Utility Commission of Texas.

Tin Chu

Data Architect
Frontend developer at Red Ventures.
Tin Chu is a bilingual frontend developer with over eight years of experience in WordPress and full-stack JavaScript web development. At Red Ventures, he has designed and developed websites and microsites to support clients' business initiatives, including online design, SEO, and brand identity. His past clients include Ninjanumber by Cirravox, Riess Group, Zyper.com, UV Digital Services, Sigma Rise, New York City Spine, King.com, and Mandaê.
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