Hi, It's Umesh Bhurtel
Research Analyst focused on identifying structural business and product problems using data-driven research (SPSS, R, Python, SQL, Power BI) to determine actionable solutions. Based in Bhaktapur, Nepal.
How I can help.
Research Design & Statistical Analysis
End-to-end research design, primary and secondary data collection, and statistical modeling using SPSS, R, Python, SQL, and Power BI to answer structural business and product questions.
Market & Competitive Research
TAM/SAM sizing, competitive intelligence, and positioning research for AI platforms and product launches — turning market signal into pricing and go-to-market decisions.
Feasibility & Infrastructure Studies
Technical, regulatory, and investment feasibility assessments — from data-centre infrastructure to new product lines — built to support clear leadership go/no-go decisions.
Workflow & Process Optimization
Mapping sales-to-delivery pipelines to find bottlenecks, then designing automated sourcing, verification, and outreach workflows that cut manual effort and delay.
Product Research & Prototyping
Idea-to-prototype research for new product concepts — validating technical feasibility and translating findings into working prototypes before full development investment.
Things I've built & researched.
The story behind the research.
I'm Umesh Bhurtel — a Research Analyst and R&D Specialist based in Madhyapur Thimi, Bhaktapur. Currently pursuing my B.Sc. (Hons.) in Information Technology at Techspire College, I specialize in end-to-end research design, primary & secondary data collection, statistical analysis, and feasibility research.
At Aituniv (Logictive Solutions Group) and Logictive Solutions, I lead business innovation, sales-to-delivery process research, lead-generation automation, TAM/SAM market research for AI platforms like Mirrago, and technical/infrastructure feasibility assessments such as establishing a data centre in Nepal.
My research has directly reduced cross-team handoff delays by an estimated 25–30%, increased candidate-sourcing output by 2–3×, and informed product relaunch, pricing, and multilateral technology tender qualifications across global initiatives.
Experienced in independently owning research questions from problem definition and data collection through analysis, insight generation, and actionable recommendations.
Where I've worked.
Business Innovation Associate (Part-Time)
Current- 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 outbound processes.
- Led opportunity research and qualification for government, UN, and EU-funded technology tenders, supporting proposal development across multiple international submissions and expanding public-sector pipeline 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.
Business Innovation Associate (Part-Time)
Current- 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 outbound processes.
- Led opportunity research and qualification for government, UN, and EU-funded technology tenders, supporting proposal development across multiple international submissions and expanding public-sector pipeline 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.
Research & Development Associate
Current- 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.
- Conducted a feasibility assessment for establishing a data centre in Nepal, evaluating technical, regulatory, infrastructure, and investment factors to support leadership go/no-go decisions.
- 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.
Research & Development Associate
Current- 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.
- Conducted a feasibility assessment for establishing a data centre in Nepal, evaluating technical, regulatory, infrastructure, and investment factors to support leadership go/no-go decisions.
- 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.
What I investigate.
Research is at the core of what I do. I approach problems with structured methodology — whether it's evaluating a technology market, writing a grant proposal, or analyzing global workforce trends.
AgriTech & Precision Farming
Researching how IoT sensors, drone imagery, and satellite data can improve crop yields for Nepal's smallholder farming communities — where 60% of the population still depends on agriculture.
AI/ML Annotation & Data Pipelines
Investigating practical applied AI: how quality training data is sourced, annotated, and validated — and what the global market for AI data services looks like for emerging economies.
Global Talent Models
Studying Technology-as-a-Service and Employer-of-Record frameworks that enable remote talent acquisition across jurisdictions — with a focus on Nepal-to-West talent corridors.
Decision Support Systems
Exploring rule-based inference engines and expert systems for domains with limited digital penetration — insurance, agriculture policy, and public service delivery.
Potential of a GPU Centre in Nepal
Researching the economic and technical feasibility of establishing a shared GPU compute centre in Nepal — examining power infrastructure, cooling requirements, hydropower advantages, AI workload demand, and the potential to position Nepal as a regional hub for affordable ML training and inference services.
Credentials & Education
What I bring to the table.
Tools · Methods · Skills
Latest writing.
I write about technology, research methodology, global work trends, and what I'm learning — twice a month. No noise. Just insight.
Let's Work
Together.
Open to remote opportunities in research, data analysis, or R&D-adjacent roles — primarily with teams in the USA and Australia. Response within 24 hours.