Senior Data Scientist @ Walmart Global Tech
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a Senior Data Scientist at Walmart Global Tech, based in Bentonville, AR. I am a Masters graduate (Data Science track) from the School of Information, The University of Texas at Austin where I was a part of IDEAL and UT CSI Lab. Previously, I was a research assistant at CeNT working on machine learning and bioinformatics.
The University of Texas at Austin
Masters, Information Science/Studies
January 1, 2019 – January 1, 2021
Jalpaiguri Government Engineering College
Bachelor of Technology (B.Tech.), Computer Science and Engineering
January 1, 2014 – January 1, 2018
Walmart
Senior Data Scientist
May 1, 2023 – Present
Walmart
Data Scientist
July 1, 2021 – May 1, 2023
The University of Texas at Austin
Graduate Teaching Assistant
September 1, 2019 – May 1, 2021
Austin, Texas Area
University of Warsaw
Research Assistant
January 1, 2019 – August 1, 2019
Warsaw Area, Poland
Cyware Labs
Software Engineer
July 1, 2018 – November 1, 2018
Bangalore
Cultural Fit Analysis
The candidate has a strong background in data science and MLOps within a large enterprise (Walmart) and research environments. The transition from Senior Data Scientist to a Data Analyst target role suggests a potential mismatch in career trajectory or a desire for a more focused analytical role. While the skills are highly relevant, the breadth of project diversity outside of data science/MLOps is limited. The candidate's experience is heavily skewed towards data science and machine learning engineering, which might be an overqualification or a different focus than a pure Data Analyst role, depending on the specific responsibilities of the target role.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight a proactive approach to problem-solving (e.g., 200x reduction in inference time) and a focus on operational excellence (monitoring, observability, scalability). The role as a Graduate Teaching Assistant suggests communication and mentorship skills. However, specific details on collaboration, leadership in cross-functional teams, or conflict resolution are not explicitly provided.