Diego Menezes, PhD
Data Scientist at Coyote Logistics- Claim this Profile
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English Full professional proficiency
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Portuguese Native or bilingual proficiency
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Spanish Elementary proficiency
Topline Score
Bio
Credentials
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Statistical Inference
Coursera Course CertificatesJan, 2016- Nov, 2024 -
Reproducible Research
Coursera Course CertificatesNov, 2015- Nov, 2024 -
Exploratory Data Analysis
Coursera Course CertificatesAug, 2015- Nov, 2024 -
Getting and Cleaning Data
Coursera Course CertificatesAug, 2015- Nov, 2024 -
R Programming
Coursera Course CertificatesJun, 2015- Nov, 2024
Experience
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Coyote Logistics
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United States
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Transportation, Logistics, Supply Chain and Storage
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700 & Above Employee
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Data Scientist
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Jun 2021 - Present
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Bind Benefits
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United States
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Insurance
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1 - 100 Employee
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Data Scientist
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Jan 2021 - Jun 2021
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Dow
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United States
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Chemical Manufacturing
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700 & Above Employee
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Data Scientist/Advanced Analytics Modeler
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Jul 2016 - Jan 2021
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Centene Corporation
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United States
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Hospitals and Health Care
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700 & Above Employee
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Data Analyst II/Predictive Modeler
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Sep 2014 - Apr 2016
• Modified and created complex SQL-based Teradata queries to access, explore and pull data from multiple sources for 2015 Marketplace Open Enrollment analysis.• Responsible for acquisition and maintenance of entire 2015 Marketplace Open Enrollment data stored in a Teradata database.• Utilized Tableau for advanced visualization and reporting of Marketplace membership data for the entire organization, totalizing over 200,000 members and 10 medical plans.• Developed codes in R to prepare and analyze smaller datasets to attend specific needs of a number business partners. • Designed and implemented business’ initial payment analysis.• Performed data mining and statistical analysis of members’ payment data using R/R Studio packages.• Produced a Tableau-based demographics analysis of Marketplace enrollment of over 600,000 members to determine the size of company’s market share. • Developed a Time Series (ARIMA model) analysis to predict the number of lapsing members at both State and County level based on past data. • Designed and developed ongoing project that consists of a highly accurate (87%) predictive analysis of member payment statuses using Naïve Bayes, Random Forest, SVM, Regression Trees, Decision Trees and Generalized Linear Models.
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Lewis University
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United States
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Higher Education
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700 & Above Employee
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Adjunct Professor of Physics
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Jan 2014 - May 2014
• Demonstrated thorough understanding through effective instruction to student body. • Instructed physics lab experiments and usage of R for data analysis.• Contributed by adding to curriculum, lesson planning and offered tutoring.• Conducted classroom management duties and effectively responded to student questions and inquiries. • Collaborated and coordinated effectively with administrative staff.• Facilitated conflict resolution and exercised strong interpersonal skills.
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Governors State University
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United States
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Higher Education
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700 & Above Employee
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Adjunct Professor Of Physics
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Aug 2013 - May 2014
• Demonstrated thorough understanding through effective instruction to student body. • Taught physics and mathematics to math and engineering majors. • Instructed physics lab experiments and usage of R for data analysis.• Contributed by adding to curriculum, lesson planning and offered tutoring.• Conducted classroom management duties and effectively responded to student questions and inquiries. • Collaborated and coordinated effectively with administrative staff.• Facilitated conflict resolution and exercised strong interpersonal skills.
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Fermilab
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United States
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Research Services
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700 & Above Employee
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Graduate Researcher
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Aug 2006 - Aug 2013
Working as a member of the DZero Collaboration performing analysis in experimental particle physics.• Research Experience:- Data Acquisition (DAQ) Shifter responsible for monitoring the DZero detector performance. Data flow maintenance and detector troubleshooting.- Composed and implemented a C++ and ROOT based Neural Network Multivariate algorithm used to select, analyze and measure the probability of productions of pairs of subatomic particles in 1.0 petabyte of data. - Scripted and executed C++, Python and ROOT based algorithms to analyze approximately 2.5 petabytes of simulated and real data used in search for new physics phenomena.
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Intern
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Feb 2012 - Jun 2013
- Interfaced with State environmental agencies through the Midwest on issues of permitting and compliance at several oil pipelines and terminals.- Conducted NPDES water sampling and compliance reporting at various industrial facilities.- Conducted profiling of wastes generated through pipeline upgrade activities.- Developed and Excel data management system for recording and calculating data from industrial activities.
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Northern Illinois University
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United States
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Higher Education
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700 & Above Employee
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Teaching Assistant at Northern Illinois University
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Aug 2005 - Aug 2006
• Teaching Experience:- Served as an assistant to faculty professors. - Instructed classical mechanics, electricity and magnetism labs. - Educated and evaluated over 130 undergraduate engineering, physics, chemistry and biological sciences students in 26 different lab experiments
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Education
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Northern Illinois University
Doctor of Philosophy (PhD), Elementary Particle Physics -
Rio de Janeiro State University
Master of Science (MSc), Elementary Particle Physics -
Rio de Janeiro State University
Bachelor of Science (BS), Physics