Joe Conley

Joe Conley has extensive work experience in various technology roles. Joe is currently serving as the Product CTO at Trilogy since 2022. Prior to this, they worked as a CTO at Cecilian Partners from 2020 to 2022, where they played a key role in simplifying data, digital marketing, and operations for Community Developers and Home Builders.

From 2018 to 2020, Joe worked as a CTO at Percy, where they contributed to the development and maintenance of enterprise web applications. Joe also served as a Member of the Forbes Technology Council from 2018 to 2019.

Before that, Joe worked as a Big Data/Scala Consultant at Chariot Solutions from 2015 to 2018, where they developed deep learning recommendation models and built a Big Data platform on AWS. Joe also worked as a Technology Advisor and later as a CTO at Mainstream Integration from 2011 to 2015, where they developed and maintained web applications for clients in various industries.

Joe's earlier experience includes roles such as Senior Developer at Microshare.io, Scala Developer at Angie's List, and Java Developer at Planalytics. Joe also worked as a Web Applications/Integration Developer at BDP International.

Throughout their career, Joe has gained expertise in areas such as data analysis, machine learning, web application development, and database programming.

Joe Conley earned a Bachelor of Science (BS) degree in Mathematics and Economics from the University of Scranton from 2003 to 2007. Joe further pursued their education at Drexel University, where they obtained a Master of Science (MS) degree in Computer Science from 2009 to 2012. Additionally, Joe has acquired various certifications, including "Big Data Analysis with Scala and Spark" from Coursera in March 2017, "Big Data Foundations - Level 1" from IBM in February 2017, "Scala Programming for Data Science - Level 2" from IBM in February 2017, "Scala Programming for Data Science - Level 1" from IBM in January 2017, "Machine Learning" from Coursera Course Certificates in December 2015, "Introduction to R" from DataCamp in January 2015, "Computing for Data Analysis" from Coursera, and "Principles of Reactive Programming" from Coursera.