Summary
S Al Faruqui is a data engineer with 8 years of experience building scalable data platforms, designing ML and causal models, and turning analytics into measurable business impact. Currently at Field Nation, he focuses on dbt-driven data modeling and migrations with AWS DMS and Fivetran, collaborating across engineering teams to produce reusable data products. Previously at Pathao he built explainable churn models, dynamic pricing, NBA systems, and a cost-saving Mixpanel alternative that cut annual costs by over $200k while boosting retention and conversion metrics. He blends hands-on skills in Python, SQL, R, GCP/AWS, XGBoost and PyTorch with applied causal inference (DiD, RDD, GRF) to evaluate real-world interventions. Based in Dhaka, he pairs production-grade data engineering with a track record of mentoring junior analysts and delivering high-impact, cost-efficient analytics solutions.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BSc, Computer Science and Engineering, Bachelor of Science - BSc, Computer Science and Engineering at North South University
Bachelor of Business Administration - BBA, Bachelor of Business Administration - BBA at Institute of Business Administration, University of Dhaka
High School (JSC, SSC, HSC), Science, High School (JSC, SSC, HSC), Science at RAJUK Uttara Model College