
PhD @ UW Madison | Previously Netflix Research, Sony AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
https://brahmasp.github.io/
University of Wisconsin-Madison
Doctor of Philosophy - PhD, Computer Science
January 1, 2022 – January 1, 2027
The University of Texas at Austin
Master's degree, Computer Science
January 1, 2019 – January 1, 2020
The University of Texas at Austin
Bachelor's degree, Computer Science
January 1, 2015 – January 1, 2019
Netflix
Machine Learning Research Intern
May 1, 2025 – August 1, 2025
Los Gatos, California, United States
SonyAI
Artificial Intelligence (AI) Research Intern
June 1, 2023 – August 1, 2023
University of Wisconsin-Madison
Graduate Research Assistant
January 1, 2022 – Present
Salesforce
AMTS Software Engineer
August 1, 2020 – January 1, 2022
The University of Texas at Austin
Research Scientist Assistant
June 1, 2020 – August 1, 2020
The University of Texas at Austin
Graduate Research Assistant
August 1, 2019 – May 1, 2020
Salesforce
Software Engineering Intern
June 1, 2019 – August 1, 2019
San Francisco Bay Area
Salesforce
Software Engineering Intern
May 1, 2018 – August 1, 2018
San Francisco, California
The University of Texas at Austin
Undergraduate Machine Learning Researcher
January 1, 2018 – May 1, 2019
Salesforce
Software Engineering Intern
May 1, 2017 – August 1, 2017
San Francisco, California
Department of Computer Science, The University of Texas at Austin
CS 314 (Data Structures) Teaching Assistant
August 1, 2016 – December 1, 2016
Austin, Texas Metropolitan Area
SAS
Software Engineering Intern
May 1, 2016 – August 1, 2016
Raleigh-Durham, North Carolina Area
The University of Texas at Austin
Undergraduate Researcher
January 1, 2016 – December 1, 2016
Cultural Fit Analysis
The candidate's profile shows a strong inclination towards research and advanced technical roles, particularly in AI/ML. While the target role is 'Data Analyst', the candidate's experience leans heavily towards Machine Learning Research and Software Engineering. This suggests a potential mismatch in the specific day-to-day responsibilities of a typical Data Analyst role, which often involves more business intelligence, reporting, and less pure research. The diversity of institutions and companies (academic and industry) indicates adaptability. However, the lack of explicit data analysis projects or roles focused on business insights might be a gap for a direct cultural fit into a data analyst team.
Soft Skills & Operational Fit
The candidate's extensive academic and research background suggests strong analytical and problem-solving skills. Internships at major tech companies like Netflix, SonyAI, and Salesforce indicate an ability to work in structured environments. The role as a Teaching Assistant implies communication and mentorship capabilities. However, specific details on teamwork, stress handling, and project management are not explicitly provided in the given data.