Manish Thapa is a statistical programmer based in San Francisco with 11 years of experience turning complex data into actionable insights across government, academic, and private sectors. He blends rigorous statistical and analytical skills (R, SQL, Tableau) with policy-oriented research, having authored briefs and visualizations for the Embassy of Nepal and supported decision-making for energy and finance stakeholders. At Acumen LLC he applies his background in machine learning, NLP, and data mining to build reproducible analyses and interactive tools that inform policy and business choices. His academic training in political science and applied analytics gives him a distinctive ability to connect quantitative findings to real-world policy implications. Colleagues rely on him for clear storytelling from messy datasets and for bridging technical results to non-technical audiences.
11 years of coding experience
3 years of employment as a software developer
GCE Advanced Level, Mathematics, Economics, Physics, Chemistry, GCE Advanced Level, Mathematics, Economics, Physics, Chemistry at Budhanilkantha School
B.A. in Liberal Arts, Philosophy, B.A. in Liberal Arts, Philosophy at St. John's College
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Harrisburg University of Science and Technology
Master of Arts - MA, Political Science, Master of Arts - MA, Political Science at Villanova University
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