Summary
Kaushal Dhungel is a software engineer turned data analyst with six years of experience building backend systems, data pipelines, and production analytics for real estate and e-commerce platforms. He has designed Celery/Redis/Postgres pipelines, optimized API latency by 40+ seconds, and deployed CI/CD and monitoring workflows on AWS to deliver reliable, scalable services. His work spans end-to-end analytics—data ingestion, forecasting models, visualization, and deployment—most notably creating demand prediction and pricing insights for multifamily real estate. Currently pursuing an MS in Data Analytics and Economics, he’s sharpening machine learning and econometrics skills to apply data science to social-impact domains like healthcare and policy. Notably, he blends hands-on engineering chops with an analyst’s focus on actionable insights, making him effective at turning messy, large-scale data into operational decisions.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS Data Analytics and Economics, Master of Science - MS Data Analytics and Economics at The University of Texas at Arlington