Jai Fadia
About Jai Fadia
Jai Fadia is a Data Engineer II currently working at Skillz in Las Vegas, Nevada. He has a background in data science and business intelligence, with experience at Bell and Home Trust Company, and holds an Honors Bachelor’s Degree from Ivey Business School at Western University.
Current Role at Skillz
Jai Fadia currently serves as a Data Engineer II at Skillz, a position he has held since 2022. In this role, he focuses on data engineering tasks that support the company's data infrastructure and analytics capabilities. His work contributes to the overall efficiency and effectiveness of data-driven decision-making within the organization.
Previous Experience at Bell
Jai Fadia has extensive experience at Bell, where he held several roles. He worked as a Business Intelligence Analyst in 2019, focusing on Next Best Action strategies. He then transitioned to a Data Scientist role from 2020 to 2021, where he engaged in AI partnerships. Additionally, he served as a Business Intelligence Consultant for three months in 2018 and as a Data Governance Analyst for four months in 2017.
Education and Expertise
Jai Fadia studied at Ivey Business School at Western University, where he earned an Honors Bachelor’s Degree in Business Administration from 2015 to 2019. His educational background provides a strong foundation in business principles, which he applies in his data-related roles.
Key Projects and Contributions
During his career, Jai Fadia has led significant projects that have impacted business operations. He created a set of ELTs for ingesting raw data from Singular into Snowflake, achieving 99% system uptime. He also led the migration to the Appsflyer mobile measurement platform, projected to improve return on ad spend by 60%. Additionally, he developed a modeling pipeline that evaluates user lifetime value, influencing marketing decisions at the C-suite level.
Technical Skills and Achievements
Jai Fadia has demonstrated strong technical skills in data engineering and analytics. He engineered a microservice with both front-end and back-end capabilities, contributing to a 15% reduction in user acquisition costs. He also optimized an ETL process, improving data completeness for VIP player data in Salesforce from 80% to 100%, enhancing personalized support capabilities.