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Profile Details
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USD 20 /hr
Hire Ricky Jay G.
Philippines
USD 20 /hr

Scientific Machine Learning | Proton Exchange Membrane Fuel Cell | Hydrogen Technology | Artificial Intelligence

Profile Summary
Subject Matter Expertise
Services
Writing Technical Writing
Research Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review
Consulting Scientific and Technical Consulting, Regulatory Consulting
Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing, Data Insights
Product Development Quality Assurance & Control (QA/QC), Product Compliance
Work Experience

Chemical Compliance Associate

Albertsons Companies

April 2024 - Present

Chemical Compliance Associate

Albertsons Companies, Inc.

April 2024 - Present

Quality Control Laboratory/Foaming Quality Specialist

Polyfoam RGC International Corporation

September 2021 - August 2023

Technical Sales Engineer

Sigmatech Incorporated

June 2018 - February 2019

Education

Machine Learning Engineer

Datacamp

February 2022 - Present

Master of Science in Chemical Engineering (School of Chemical, Biological, and Materials Engineering and Sciences)

Mapua University

August 2019 - Present

Bachelor of Science in Chemical Engineering (Chemical, Biological, Materials Engineering, and Sciences)

Mapua University

July 2013 - February 2018

Certifications
Publications
CONFERENCE PAPER
Ricky Jay Gomez, Dahlia Apodaca, Michelle Almendrala, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, et al. (2024). Predictive Modelling of PEMFC Degradation Against Hydrogen Crossover Using Machine Learning Models in Matlab . World Congress on New Technologies.
JOURNAL ARTICLE
Ricky Jay Gomez, Dahlia Apodaca, Michelle Almendrala, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, Ricky Jay C. Gomez, et al. (2024). Gaussian Process Regression (GPR) Model Development for Predicting the PEMFC Performance Against Temporal Hydrogen Crossover in Matlab . Journal of Fluid Flow, Heat and Mass Transfer.