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Ux Researcher Summer Internship

Location:
San Jose, CA
Posted:
January 23, 2023

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Resume:

Umesh Krishnamurthy, Ph.D.

317-***-**** San Jose, CA 95135 aduvx2@r.postjobfree.com www.linkedin.com/in/umesh-krishnamurthy-phd UX Researcher

Mixed Methods Data Analytics Data Storytelling Collaborative, detail-oriented, and open-minded UX researcher with project experience designing and conducting usability studies and analyzing experimental data. Ability to empathize with and accommodate user needs. Expertise in user interviews, survey programming, and data analytics. WORK EXPERIENCE

Google – Sunnyvale, CA June 2022 – present

Mixed Methods UX Researcher

Contract role conducting UX Research for a team of Software Engineers about internal products

Conducted 50+ user interviews with engineers’ partner teams.

Reported and presented notable findings to the engineers.

Presented training on user journeys to engineers and users. Google – Sunnyvale, CA October 2021 – February 2022 Quantitative UX Researcher

Contract role conducting studies to gauge user trust in online advertising.

Programmed 3 surveys using Qualtrics.

Processed and analyzed survey responses using R.

Created reports to communicate data narratives using figures generated via ggplot. NASA Ames Research Center – Mountain View, CA July 2020 – September 2020 Qualitative UX Researcher

Summer internship developing a website for expediting flight approval processes.

Interviewed relevant stakeholders about expectations of the new website.

Conducted secondary market research of common applications of several types of aircraft.

Assisted in designing prototype web pages by adjusting text configuration and link placement. EDUCATION

PhD – Cognitive Science – University of California, Merced Fall 2014 – Fall 2021

Completed dissertation related to Human-Computer Interaction in Robotics.

Programmed Qualtrics surveys with robot videos to gauge user trust towards different robots.

Analyzed results by conducting regressions, ANOVA tests, and t-tests in SPSS.

Findings showed stronger user trust in more human-like robots. M.S. – Software Engineering – San Jose State University Fall 2013 – Fall 2014



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