Professional Summary
Research Analyst focused on identifying structural business and product problems and using data-driven research to determine actionable solutions. Experienced in end-to-end research design, primary and secondary data collection, statistical analysis, competitive intelligence, and feasibility research using SPSS, R, Python, SQL, and Power BI. Skilled in TAM/SAM analysis and technology-adoption research, translating complex findings into clear business decisions. Reduced cross-team handoff delays by an estimated 25–30% through sales-to-delivery process research and increased qualified candidates surfaced per search by an estimated 2–3× through a redesigned sourcing methodology. Research has also informed product relaunch, pricing, and infrastructure investment decisions. Experienced in independently owning research questions from problem definition and data collection through analysis, insight generation, and actionable recommendations.
Experience
- Diagnosed inefficiencies across the end-to-end sales-to-delivery pipeline, mapping workflows and identifying bottlenecks; recommendations contributed to an estimated 25–30% reduction in cross-team handoff delays.
- Designed and implemented a lead-generation research and automation workflow covering prospect sourcing, contact discovery, verification, and personalized outreach, reducing manual research effort and standardizing the BD team's outbound process across pipeline stages.
- Led opportunity research and qualification for government, UN, and EU-funded technology tenders, supporting proposal development across multiple international submissions and expanding the company's pipeline into public-sector and multilateral funding opportunities.
- Conducted market and competitive research to support the go-to-market strategy for a new product launch, providing evidence-based insights that informed positioning and market-entry decisions.
- Led idea-to-prototype research for new product concepts, translating research findings into a functional prototype for a UGC (user-generated content) ad-creation automation tool and validating technical feasibility before full development investment.
- Redesigned the candidate-sourcing methodology for a Talent-as-a-Service business line, increasing qualified candidates surfaced per search by an estimated 2–3× through improved sourcing and screening processes.
- Conducted market and competitive research for Mirrago, an AI-powered virtual try-on platform for fashion e-commerce, applying TAM/SAM frameworks to evaluate market opportunity and inform relaunch strategy and pricing decisions presented to leadership.
- Conducted a feasibility assessment for establishing a data centre in Nepal, evaluating technical, regulatory, infrastructure, and investment factors to support a leadership go/no-go decision.
- Supported R&D research into an in-house, company-owned small-scale data annotation model, evaluating technical feasibility and potential use cases to reduce dependency on third-party annotation platforms.
- Delivered pitch-ready market research, competitive intelligence, and industry analysis across multiple concurrent cross-functional initiatives, translating complex findings into evidence-based insights for strategic decision-making.
Education
B.Sc. (Hons.) Information Technology
Techspire College — Kathmandu
Sep, 2023 – Present
High school
Shree Padma SEC — Bhaktapur
Jun, 2020 – Oct, 2022
Projects
- Independently designed and executed an end-to-end research study, covering research design, primary data collection, statistical analysis, interpretation, and academic report writing under faculty supervision; funded through the college's research grant program.
- Evaluated the economic feasibility, technology-adoption drivers, and investment case of precision farming versus traditional farming among rural Nepali farmers, applying quantitative analysis to assess adoption potential and financial viability.
- Applied structured field research and statistical analysis methodologies, incorporating iterative feedback from the faculty advisor across multiple review cycles to strengthen research design, analysis, and findings.
Skills
Data & Statistical Tools: IBM SPSS, R, Python, SQL, Power BI
Research & Methodology: Market Research, Technology Adoption Research, Feasibility Studies, Market and Competitive Analysis, Research Design, Primary & Secondary Research, Research Report Writing and Documentation, Industry & Analyst Reports, TAM/SAM Analysis, Process Research