Kevin Ellis
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
Senior Data Scientist | Design Innovative End-to-End Solutions | Deliver Meaning and Value from Big Data | Collaborate with Cross Functional Partners
Results-oriented, innovative and natural leader with proven track record for solving complex problems. Skilled in translating big data into actionable insights and engaging with stakeholders to clarify requirements and communicate project results. Collaborative team player adept at overseeing large-scale, cross-functional projects, delivering high-quality outcomes on schedule. • Model Development • Model Deployment & Testing • Model Monitoring & Maintenance • Process Improvement • Object-Oriented Design & Programming • Project Management • Team Management • Agile Methodologies TECHNICAL SKILLS: Languages: Python, SQL (PL/SQL, PL/pgSQL, T-SQL), Bash, Markdown & LaTeX Frameworks: PyTorch, Spark Platforms: Cloud & On-Premises, AWS, GCP, Linux, Kubernetes, Docker Tools: DataBricks, Git, Terraform, Snowflake Security Clearance: Confidential Level Security Clearance (2012-2017)
Colorado State University Global
Certificate, Computer Programming
January 1, 2020 – January 1, 2021
University of Colorado Denver
Master of Science (M.S.), Business Analytics (Big Data Specialization)
January 1, 2015 – January 1, 2016
University of Colorado Denver
Master of Science (M.S.), Mechanical Engineering
January 1, 2010 – January 1, 2012
Thayer School of Engineering at Dartmouth
Bachelor of Engineering (B.E.)
January 1, 2005 – January 1, 2009
Thayer School of Engineering at Dartmouth
Bachelor of Arts (B.A.), Engineering
January 1, 2005 – January 1, 2009
Ibotta
Senior Data Scientist, Fraud Analytics
January 1, 2025 – Present
Denver, Colorado, United States · Hybrid
Pearson
Manager of Machine Learning
January 1, 2022 – January 1, 2024
Pearson
Senior Data Scientist
January 1, 2017 – January 1, 2023
The Kenific Group
Data Scientist
January 1, 2014 – January 1, 2017
Denver Metropolitan Area · Remote
URS Corporation, An AECOM Company
Mechanical Engineer
January 1, 2012 – January 1, 2014
Denver, Colorado, United States · On-site
Introduction to Git and GitHub
June 24, 2026 – Present
[PCEP-30-02] PCEP™ – Certified Entry-Level Python Programmer
Python Developer
June 24, 2026 – Present
Certified Energy Manager
Association of Energy Engineers
June 24, 2026 – Present
SAS Certified Base Programmer for SAS 9
SAS
June 24, 2026 – Present
Academy Accreditation - Databricks Fundamentals
Databricks
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, starting with Mechanical Engineering and transitioning into Data Science and Machine Learning. Their experience spans government contracting (The Kenific Group, URS Corporation) and large educational technology companies (Pearson, Ibotta). The progression from individual contributor to manager roles, coupled with a focus on impactful projects (e.g., fraud analytics, educational outcomes), suggests a results-oriented and growth-minded individual. The target role of ML Engineer aligns well with their recent experience in deploying ML products and managing MLE teams, indicating a good cultural fit for a role focused on practical application and engineering rigor.
Soft Skills & Operational Fit
The candidate's experience as a Manager of Machine Learning at Pearson indicates strong leadership, project management, and team expansion skills. Their ability to collaborate in AI strategy and establish best practices suggests a proactive and strategic mindset. The reduction in model delivery time and budget cuts highlight efficiency and operational excellence. Experience in managing diverse stakeholder expectations (USCG, DHS, Congress) points to strong communication and adaptability.