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Machine Learning and AI
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Assessing your cultural and operational fit
Staff Machine Learning Engineer with 9+ years of experience in building and deploying machine learning models at scale. Proven track record of success in developing and delivering machine learning solutions that drive business value. Expertise in a variety of machine learning algorithms and techniques, building pipelines for data preprocessing, feature engineering and model training/optimization at scale, as well as deploying and monitoring machine learning models in production.
Villanova University
PhD, Mechanical Engineering
January 1, 2012 – January 1, 2016
Intuit
Staff Machine Learning Engineer
January 1, 2023 – Present
Amazon Web Services (AWS)
Data Scientist
July 1, 2019 – December 1, 2022
Santa Clara, California, United States
Amsted Digital Solutions
Machine Learning Engineer
June 1, 2018 – July 1, 2019
Amsted Rail
Data Scientist - Predictive Analytics and Machine Learning Applications
September 1, 2016 – June 1, 2018
West Chester, PA
Amsted Rail
Data Scientist Intern
June 1, 2016 – September 1, 2016
West Chester, PA
Villanova Center for Analytics of Dynamics Systems (VCADS)
Graduate Reseach Assistant
January 1, 2012 – May 1, 2016
Villanova Center for Analytics of Dynamics Systems (VCADS)
Natural Language Processing Specialization
Coursera
June 24, 2026 – Present
Deploying Scalable Machine Learning for Data Science
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Self Driving Car Nano Degree
Udacity
June 24, 2026 – Present
Machinery Dynamics
Villanova University
June 24, 2026 – Present
Prognostics and Health Management Fundamentals
PHM Society
June 24, 2026 – Present
Electro-Mechanical Systems
Villanova University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in Machine Learning and Data Science, which aligns with roles requiring analytical rigor. However, the target role is 'Data Analyst,' which typically focuses more on data extraction, transformation, visualization, and reporting, rather than advanced ML model development. While the candidate possesses the foundational data skills, their extensive experience and education are heavily skewed towards ML Engineering and Data Science. This might indicate an overqualification for a pure Data Analyst role or a potential mismatch in career aspirations if the role does not involve significant ML components. The diversity of projects across different companies (FinTech, Cloud, Industrial IoT) shows adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights roles requiring complex problem-solving and algorithm development, suggesting strong analytical and critical thinking skills. Experience at large organizations like Intuit and AWS implies an ability to operate within structured environments and contribute to significant projects. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity cannot be definitively assessed.