Leo P.
Senior Data Engineer
Currently focused on data engineering, he combines deep technical expertise with a holistic understanding of data systems, from infrastructure to analytics.
His industry experience spans document management, banking, insurance, advertising analytics, consumer research, technical interviewing, and most recently, payments. In addition to his technical career, Leo has served as a coding and machine learning instructor in three separate roles, reflecting his passion for knowledge sharing and mentorship.
As a founding member of two startups, Leo also brings entrepreneurial insight and hands-on experience building solutions from the ground up—making him a versatile and impactful contributor in both corporate and startup environments.
Main expertise
Pandas5 years
AWS5 years
Python5 yearsExperience6
Senior Data Engineer
- Implemented an end-to-end monolithic Data Warehouse, overseeing data ingestion, transformation, and ongoing maintenance.
- Integrated new products to enhance the existing solution, emphasizing continuous integration and continuous delivery (CI/CD) and conducting rigorous unit and integration testing.
- Provided robust client support, tailoring the legacy project to meet unique requirements.
Redshift
dbt
Head of Data Science and Data Science Advisor
- Conceptualized and constructed the core system for processing user data to generate individualized scores based on statistical analysis.
- Collaborated with the Product Team to iterate swiftly and deliver conclusive outcomes.
- Oversaw the team's workflow and ensured the C-level team was satisfied with the roadmap's elaboration and subsequent progress.
Scikit-learn
Machine Learning Engineer
- Established end-to-end data pipeline systems, covering data ingestion and NLP tasks.
- Evaluated pedometer data from smart dog collars, forecasted customer churn in the casino industry, and built models to assess similarities between companies for a venture capital firm.
- Contributed to three webinars and conducted more than 125 interviews as an active member of the interviewers' team.
TensorFlow
PyTorch
Machine Learning
Data Scientist and Computer Vision Engineer
- Deployed eye-tracking algorithms to generate heat maps within multimedia content.
- Developed automated ROI analysis using image segmentation and enabled mobile device automation through computer vision techniques.
- Created business intelligence dashboards to provide a comprehensive financial overview of the company.
- Applied NLP to analyze and interpret open-ended responses and questionnaires.
OpenCVScikit-learn
Click Traffic Acquisition Engineer
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Harvested insights from Google, Bing, Facebook, and Yahoo to craft BI dashboards revealing revenue generated by keywords and advertisements.
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Utilized TensorFlow to implement a vigilant model capable of identifying phone numbers, URLs, and email addresses within images of car advertisements, safeguarding potential leads.
PL/SQL
Backend Software Engineer
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Collaborated with companies in Guatemala, Colombia, and South Korea, spanning various industries.
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Focused on document management systems in projects related to Social Security, Leasing, and Insurance Complaints.
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In South Korea, diverged significantly from the typical projects, implementing cutting-edge algorithms for facial recognition, emotion analysis, gender classification, and age prediction specifically tailored for CCTV systems in diverse industries.
Assessments
Engineering excellence
Leo’s overall performance in a 90-minute live technical assessment ranks in the top 25% of vetted Senior Data Engineers at Proxify.
Education
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