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Data Scientist

Location:
Whittier, CA
Salary:
$80,000
Posted:
November 17, 2024

Contact this candidate

Resume:

Education

Ph.D. in Prevention Science with Data Science for Educators Specialization

University of Oregon

**/** - **/**

M.S. in Prevention Science

University of Oregon

**/** - **/**

M.A. in Health Psychology

California State University, Dominguez Hills

08/15 - 08/17

B.A. in Psychology with Chicana/o & Latina/o Studies Minor California State Polytechnic University, Pomona

09/09 - 12/14

Work Experience

Academy Mentor

Posit (Previously RStudio)

01/22 - Present

• Led collaborative and presentation sessions for R and Python

• Guided learners on visualizations, data manipulation, database management, data analysis, dashboards, and report creation

• Supported students with troubleshooting R and Python code

• Proposed changes for curriculum changes based on learners’ needs Data Scientist & Psychometrician

University of Kansas - Accessible Teaching, Learning, & Assessment Systems 09/22 - 07/24

• Created annual reports for The National Center on Deaf-Blindness

Conducted ad-hoc analyses that revealed racial/ethnic differences in resources

• Developed machine learning model showing feature importance on use of a text-to-speech function for students with significant cognitive disabilities

• Constructed a Bayesian Network to predict the probability of student mastery of latent skills

• Refined post-processing methods for optimal classification threshold selection

• Created presentation and technical report templates to be presented to stakeholders

• Developed a dashboard for state stakeholders to identify school districts struggling to implement Dynamic Learning Maps (DLM) assessments

• Improved response rate to teachers’ DLM questions using natural language processes

• Took the lead as the co-chair of the Diversity, Equity, Inclusivity, and Belonging Committee Psychology Lecturer

California State Polytechnic University, Pomona

08/21 - 06/22

• Taught 3 courses in Statistics and 1 semester in Applied Experimental Design

• Trained students how to conduct statistics in SPSS and R

• Prepared students for the job market with skills in recruitment, survey design, experimental design, data analysis, and report writing

Diversity & Inclusion Program Associate

University of Oregon - Division of Graduate Studies 09/20 - 06/21

• Created 5 advisory groups to meet with departments on improving inclusivity

• Cleaned data for departments to choose candidates for Promising Scholar awards

• Organized data from McNair Scholar programs to match with graduate programs

• Developed a dashboard on student perceptions of the university and programs

Shared with Division of Graduate Studies to implement within departments

• Held office hours for students with departmental issues or professional development Research Associate

University of Oregon

09/17 - 06/19

• Conducted a needs assessment and analyses for food insecurity in communities

• Analyzed data for several projects and reported findings at academic conferences

• Supervised 4 research assistants in recruitment, data collection, and data cleaning

• Trained research assistants and associates in survey design, data analysis, and report writing Jonathan A. Pedroza Ph.D

Traditionally trained academic with

over 9 years of experience designing

and conducting research projects with 8

years of experience conducting

traditional statistics and 5 years of

developing machine learning

algorithms.

Contact Information

Website

GitHub

: 562-***-****

LinkedIn

Email

Certifications

• SQL for Data Science (2024)

Programming Languages

• R

• SQL

• CSS/SCSS

• Python

• Stan

• SPSS

Skills

• Tidyverse (R), Pandas, Numpy • Data Visualization - plotly (R & ),

ggplot2(R), plotnine, seaborn,

matplotlib • Machine Learning - Scikit-learn,

MLR3(R), Statsmodels • Natural Language Processing

• Dashboard Creation - Flexdashboard

(R) & Shiny (R & )

• Deep Learning - TensorFlow &

Keras • Git & GitHub • Google Cloud Platform

• Hypothesis Testing

• Data Mining

• Big Data

• Statistical Analyses - Latent,

Geospatial, & Psychometric Modeling

• Bayesian Statistics

• Probability Theory

• Survey Design

• Experimental Design & AB Testing

• Program Evaluation

• Grant/Report Writing

Interests

Coffee

Cars

Gardening

Cooking



Contact this candidate