Jerimiah Dickey

Jerimiah Dickey has a diverse work experience spanning various industries. Jerimiah is currently working as a Lead Data Engineer at Big Fish Games since 2022. Prior to that, from 2021 to 2022, they served as a Senior Data Scientist at Tenneco, where they played a key role in implementing a global data warehouse and conducting data analysis and forecasting using machine learning algorithms.

From 2020 to 2022, Jerimiah worked as a Looker Data Architect and Senior Data Engineer at Genius in Everyone LLC, specializing in data science, analytics, and dash-boarding for small and medium businesses. Jerimiah also advised on data governance, built analytics platforms, and developed machine learning-driven recommender systems.

Before that, from 2019 to 2020, Jerimiah worked as a Data Scientist and Senior Software Engineer at Kinestral Technologies, Inc., where they developed machine learning patents and methods to identify hardware faults and monitor performance degradation of IoT devices.

From 2017 to 2019, Jerimiah held the position of Senior Manager of BI & Analytics at GameStop, leading a project to implement an enterprise data warehouse and driving data science initiatives for forecasting and analysis.

Prior to that, from 2014 to 2017, Jerimiah worked as a Senior Business Intelligence & Analytics Analyst at TAB Bank, where they led a team and developed data science algorithms to control loan-to-value ratios and mitigate risk.

From 2013 to 2014, Jerimiah worked as an Analytics Analyst at Select Portfolio Servicing, where they led the rewrite of SQL queries and SSRS reports and developed analytical and regulatory reports for various stakeholders.

Earlier in their career, Jerimiah worked as a Private Wealth Management Analyst at Goldman Sachs, remediated accounts to comply with regulatory requirements, and processed PWM documents for client onboarding.

Jerimiah also gained experience as a Market and Liquidity Risk Analyst Intern at the Federal Housing Finance Agency in 2012, where they supported examinations and performed statistical analysis on mortgage investment securities.

Prior to their career in the private sector, Jerimiah served in the US Army from 2002 to 2010, working as a HUMMIT Intelligence Collector and Paratrooper, specializing in military intelligence, hand-to-hand combat instruction, and strategy.

Overall, Jerimiah Dickey has a strong background in data engineering, data science, analytics, and project management, with experience across various industries including gaming, manufacturing, finance, and government.

Jerimiah Dickey completed their bachelor's degree in Economics at Utah State University - Jon M. Huntsman School of Business from 2007 to 2012. During the same period, they also earned a bachelor's degree in Finance from the same institution. Additionally, they pursued a minor in Chinese Language and Literature at Utah State University.

In 2011, Jerimiah attended the Civil Aviation Management Institute of China, where they completed a program in Chinese language.

In terms of certifications, Jerimiah obtained various certifications from Udemy, including "Looker - Complete Guide to Google Looker - LookML Developer," "Looker - Complete Guide to Google Looker - User and Analyst," "Kubernetes 101," "Marketing Analytics Mastery: Hands-on Learning," "Operations and Supply Chain Management," "Master SQL for Data Science," "Modern Web Scraping with Python," and "Probability and Statistics for Business and Data Science."

Jerimiah also received certifications from Looker, such as "Looker Developer Virtual Bootcamp," "Building Reports in Looker," "Designing Great Dashboards," "Getting Started with LookML," "Building Explores Users Will Love," "Getting Started With Looker," and "Looker First Look."

Furthermore, Jerimiah completed the certification courses "The Ultimate Hands-On Hadoop - Tame your Big Data!" from Udemy and "Outlier Detection Algorithms in Data Mining and Data Science," "Advanced IoT Anomaly Detection," "Deployment of Machine Learning Models," and "Mathematical Foundation For Machine Learning and AI" from Udemy.