
Data Engineer / DevOps Engineer / MLOps Engineer
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Experienced machine learning engineer with a demonstrated history of working in the healthcare, manufacturing, retail, & consumer identity management industries. Skilled in Python, R, Tableau, Statistical Modeling, Machine Learning and other buzzwords. Strong engineering professional with a Master's Degree focused in Predictive Analytics & Computational Methods from DePaul University.
DePaul University
Master's Degree, Predictive Analytics, Computational Methods
January 1, 2014 – January 1, 2016
Universidad de Puerto Rico
Bachelors of Science, Interdisciplinary Sciences
January 1, 2007 – January 1, 2012
Bonneville school
High School, High School/Secondary Diplomas and Certificates
January 1, 1995 – January 1, 2007
Bravado Health
Data & MLOps Engineer
May 1, 2021 – June 1, 2023
United States · Remote
Import Knowledge
Founder & Principal Consultant
April 1, 2021 – Present
United States · Remote
Virgin Pulse
Lead Data Engineer
November 1, 2018 – August 1, 2021
Greater Chicago Area
Infutor Consumer Identity Management Experts
Manager Machine Learning & Data Engineering
October 1, 2017 – November 1, 2018
Greater Chicago Area
Walgreens Boots Alliance
Data Scientist
June 1, 2016 – October 1, 2017
Greater Chicago Area
Brunswick Corporation
Data Scientist
January 1, 2014 – January 1, 2016
Greater Chicago Area
Ask me PR
Co-Founder
January 1, 2010 – January 1, 2014
San Juan
Universidad de Puerto Rico
Analyst
January 1, 2010 – January 1, 2012
Univeristy of Puerto Rico Medical Science Campus
Analyzing Temporary Employee Conversion at Boston Whaler
December 1, 2015 – Present
Analyzed and used time to analysis to help explain when temporary employees would convert to regular full time employees.
Improving Employee Retention
June 1, 2015 – August 1, 2015
Top aluminum boat manufacturer owned by Brunswick Corp had a 32% employee turn over rate by mid 2015. Turn over was affecting not only production but also moral and future plans to expand operations. As part of my work I identified key reasons of why employees left, created a model that would predict if an employee was going to quit in the next year, and explained to management how turn over could be positively impacted by addressing the key reasons for employee turn over.
Association Between Caffeine Consumption, Blood Pressure, and Hypertension Diagnosis
August 1, 2011 – March 1, 2012
Research project trying to find the association between caffeine consumption,blood pressure, and hypertension diagnosis as part of my undergraduate capstone project. Won first place in the 32nd Annual Forum of the University of Puerto Rico.
Periodontal Disease, Hypertension, and Blood Pressure Among Older Adults in Puerto Rico.
May 1, 2011 – June 1, 2012
Research assistant under Dr. Tumanyan
San Juan Obese Adult Longitudinal Study
January 1, 2011 – June 1, 2012
Research assistant and analyst in Puerto Rico's largest longitudinal study.
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research to leading data engineering functions in various industries (healthcare, consumer identity, manufacturing), indicates a broad cultural adaptability. Their entrepreneurial background as a co-founder and consultant suggests a proactive, self-starting attitude. The target role of 'Data Analyst' aligns well with their historical data analysis and modeling experience, though their recent roles lean more towards data engineering and MLOps, which might represent an overqualification or a desire to shift focus. The breadth of skills and exposure to different organizational structures (start-up, large corporation, consulting) suggests a good cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate's experience as a founder and principal consultant, along with leading teams, suggests strong leadership, initiative, and problem-solving skills. Their work on improving employee retention and optimizing marketing campaigns indicates a business-oriented mindset and ability to translate data into actionable insights. The diverse project background, including healthcare and consumer identity management, shows adaptability and a broad operational fit.