Summary
Jas Sohi is a founder and principal consultant with 11+ years of hands-on data science and analytics experience, helping organizations turn messy data into actionable business decisions and production-ready ML systems. He blends technical depth in R, Python, SQL, BigQuery and cloud-native Spark with practical ETL/automation skills (Airflow, CRON, bash) and a strong background in sales and operations, which helps him bridge technical solutions and commercial outcomes. Jas has led large-scale segmentation and predictive scoring projects for Fortune 500 clients, built marketing mix and LTV models, and championed version control and reproducibility across teams. A persistent teacher and mentor, he ran data science office hours, authored open-source R contributions (notably to googleAnalyticsR and bigrquery), and was among the first in his org to earn Google Cloud ML and Data Engineer certifications. Based in Vancouver, he describes himself as a full-stack data scientist and problem detective who enjoys the less glamorous work—data cleaning—as a key to reliable insights.
11 years of coding experience
10 years of employment as a software developer
Agentic AI Nanodegree, Agentic AI Nanodegree at Udacity
BBA MIS Finance and Entrepreneurship, BBA MIS Finance and Entrepreneurship at Simon Fraser University
English, French, Punjabi, Spanish