Aditya Parmar
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning @ Yahoo
Senior Machine Learning Engineer building and operating production systems that power personalized experiences. My past work has focused on end-to-end ML ownership, including feature engineering, model training, real-time inference, and monitoring. I’ve led the development of personalization and ranking systems that operate at scale and support high-traffic, revenue-critical product surfaces. I enjoy working on problems where machine learning systems are deeply integrated into products, decisions happen in real time, and impact is measurable. I’m especially interested in building reliable ML systems, partnering closely with product and data teams, and helping teams grow through mentorship and strong engineering practices.
University of Massachusetts Amherst
Bachelor's degree, Mathematics
N/A – Present
University of Massachusetts Amherst
Master's degree, Data Science
N/A – Present
University of Massachusetts Amherst
Bachelor’s Degree, Computer Science
N/A – Present
Yahoo
Machine Learning Engineer II
May 1, 2026 – Present
Boston, Massachusetts, United States · Remote
DraftKings Inc.
Senior Machine Learning Engineer
July 1, 2024 – March 1, 2026
Boston, Massachusetts, United States
Nike
Senior Data Scientist, Product Creation & Merchandising
January 1, 2023 – May 1, 2024
Portland, Oregon, United States · Remote
Nike
Data Scientist, Sports Activity Science
February 1, 2021 – January 1, 2023
Portland, Oregon, United States · Remote
Nike
Data Scientist, Personalization
June 1, 2020 – August 1, 2020
Portland, Oregon, United States · Remote
Wayfair
Software Engineer
June 1, 2019 – August 1, 2019
Boston, Massachusetts · On-site
Air Force Research Laboratory
Machine Learning Researcher
June 1, 2018 – August 1, 2018
Rome, New York · On-site
Optum
Machine Learning Engineer
June 1, 2017 – August 1, 2017
Boston, Massachusetts · On-site
MassMutual
Research And Development Engineer
June 1, 2016 – August 1, 2016
Springfield, Massachusetts Area · On-site
Cultural Fit Analysis
The candidate has a diverse background working across different industries (tech, sports betting, retail, government research, healthcare, finance) and company sizes, indicating adaptability. Their experience in building personalized experiences and optimizing systems aligns well with product-focused ML roles. The consistent progression in ML/Data Science roles and leadership responsibilities suggest a proactive and growth-oriented mindset. The multiple degrees from the same institution might indicate a preference for stability or a strong academic foundation.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in project development and mentoring, suggesting strong collaboration and communication skills. Experience with stakeholder engagement at Nike and DraftKings indicates an ability to translate technical insights into business value. The descriptions of building and maintaining production systems imply a strong operational mindset and attention to system health and data quality.