Summary
Asim Banskota is a VP and lead quantitative analytics specialist with 11 years of experience applying AI/ML, statistical modeling, and geospatial analysis to financial services and environmental problems. At Wells Fargo he builds price elasticity, portfolio optimization and deep reinforcement learning–based tax-efficient allocation models for high-net-worth and retirement planning, while earlier roles produced productionized entity-resolution, geospatial coverage frameworks, and satellite-imagery pipelines. He combines academic rigor (PhD in Geospatial and Environmental Analysis) with hands-on production engineering—Airflow, PySpark, TensorFlow/Keras and AWS—and a history of translating remote-sensing research into business impact. Known for bridging domain expertise and scalable systems, he has led cross-functional teams, taught as an adjunct lecturer, and repeatedly turned messy spatial or records data into reliable models and deployable workflows.
11 years of coding experience
7 years of employment as a software developer
PhD, Geospatial and Environmental Analysis, PhD, Geospatial and Environmental Analysis at Virginia Tech
Master's degree, GIS and Remote Sensing, Master's degree, GIS and Remote Sensing at ITC
Hindi, Nepali, English