Thomas Pepar Hugo

Thomas Pepar Hugo has a long history of work experience. In 2013, they began as a Teaching Assistant at the University of Regina, followed by a Sales Development Trainee at WESCO Distribution. In 2014, they joined SaskTel as a Sales Support Manager - Business Operations - Sales Compensation & Analytics, followed by Business Metrics Analyst - Decision Support, Business Metrics Analyst - Call Center Forecasting, and Business Metrics Analyst - Call Center Reporting. In 2018, they became a Data Scientist and Information Analyst at eHealth Saskatchewan. In 2019, they were a Senior Data Analyst at Mapillary and a Student Mentor - Contractor at Udacity. In 2020, they were a Senior Data Analyst at PRO Unlimited @Facebook and a Data Engineer at Intersog, where they developed Python process flow to calculate penultimate base for KnowledgeHound’s Analysis 2.0 feature for analyzing nested question response combinations for survey results, performance tuned Analysis 2.0 process by threading multiple calls queries and optimizing SQL queries to drop response time by 60% to meet 1-minute contractual obligation response time by a key client, and designed, developed and deployed distributed column proportion statistical significance test process for Analysis 2.0. In 2021, they were a Senior Data Scientist and Senior Data Engineer at Corel Corporation, and in 2022 they are currently Director of Big Data Engineering and Senior Big Data Software Engineer at XGen Ai.

Thomas Pepar Hugo's education history includes a Master of Science in Financial Engineering from WorldQuant University (2020-2023), a Self-Driving Car Engineer Nanodegree from Udacity (2016-2018), and a Bachelor of Science with Distinction (BSc) from the University of Regina, majoring in Economics and minoring in Physics (2009-2013). Thomas Pepar has also obtained numerous certifications from Coursera, LinkedIn, SAS, and IBM, including Data Engineering, Big Data, and Machine Learning on GCP Specialization (Coursera, 2021), Apache Spark Essential Training: Big Data Engineering (LinkedIn, 2020), Architecting Big Data Applications: Batch Mode Application Engineering (LinkedIn, 2020), Become a Data Engineer: Mastering the Concepts (LinkedIn, 2020), Cloud NoSQL for SQL Professionals (LinkedIn, 2020), Architecting Big Data Applications: Real-Time Application Engineering (LinkedIn, 2020), HBase Essential Training (LinkedIn, 2020), Learning NoSQL Databases (LinkedIn, 2020), SQL Tips, Tricks, & Techniques (LinkedIn, 2020), SQL: Data Reporting and Analysis (LinkedIn, 2020), Advanced NoSQL for Data Science (LinkedIn, 2020), Data Science Foundations: Data Engineering (LinkedIn, 2020), SAS Programming (SAS, 2018), SAS Programming 1: Essentials (SAS, 2018), Build Your Own Chatbot - Level 1 (IBM, 2018), Big Data Foundations (IBM, 2016), Big Data Hadoop Foundations (IBM, 2016), and Cloud Developer Bootcamp (IBM, 2016).