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Data Scientist at Tyson Foods
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Birla Institute of Technology and Science, Pilani
Master's Degree, Physics
N/A – Present
Oregon State University
Master of Science - MS, Computer Science
N/A – Present
Birla Institute of Technology and Science, Pilani
Bachelor's Degree, Electrical and Electronics Engineering
N/A – Present
Tyson Foods
Lead Data Scientist
November 1, 2022 – Present
Tyson Foods
Machine Learning Engineer
April 1, 2021 – November 1, 2022
Oregon State University
AI Software Engineer
January 1, 2021 – June 1, 2021
Corvallis, Oregon, United States
UNAR Labs
AI/ML Researcher
June 1, 2020 – October 1, 2020
Portland, Maine, United States
Oregon State University
Graduate Teaching Assistant
December 1, 2019 – June 1, 2020
TheMathCompany
Associate
September 1, 2018 – April 1, 2019
Bengaluru Area, India
CloudSEK
Sr Machine Learning Engineer
October 1, 2017 – September 1, 2018
Bengaluru Area, India
CloudSEK
Machine Learning Engineer
October 1, 2016 – September 1, 2017
Bengaluru Area, India
CloudSEK
Computer Vision Intern
August 1, 2016 – September 1, 2016
Bengaluru Area, India
XBITS, Technology Business Incubator, BITS Pilani
Research Assistant
February 1, 2015 – June 1, 2015
ESSAR Power, Mahan
Process Engineering Intern
May 1, 2013 – July 1, 2013
Advanced Programming with Python
David Beazley (Dabeaz LLC)
June 24, 2026 – Present
Statistics Foundations: 2
June 24, 2026 – Present
Statistics Foundations: 1
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research (Oregon State University, UNAR Labs) and industry roles (Tyson Foods, CloudSEK, TheMathCompany). Their experience ranges from core ML engineering to lead data scientist roles, indicating adaptability. The focus on Computer Vision and Deep Learning across multiple companies aligns well with a specialized ML Engineer role. However, the project descriptions, while technically detailed, do not explicitly highlight contributions to open-source, community involvement, or specific cultural values, making a deeper assessment of cultural fit challenging without interview data. The breadth of experience suggests a candidate who can adapt to different organizational structures and problem domains.
Soft Skills & Operational Fit
The candidate's experience as a Lead Data Scientist and involvement in product management aspects suggest strong leadership potential, problem-solving abilities, and a capacity for end-to-end solution ownership. Their work on diverse projects (image classification, object detection, tracking, NLP, supply chain optimization) indicates adaptability and a broad operational fit for various ML challenges. The description of collaborating with data engineers and visualization experts points to good teamwork and cross-functional collaboration skills.