Robert Brown

Robert Brown has a diverse work experience spanning several roles in the fields of data science, epidemiology, and machine learning. Robert'smost recent position was as a Machine Learning Engineer at Atropos Health in 2022. Prior to that, they worked as a Data Engineer at Berlin Brands Group from 2021 to 2022.

Robert also served as a Data Scientist at the Los Angeles County Department of Public Health in 2021, where they developed interactive dashboards and implemented ETL pipelines for infectious disease data. Before that, they were an Epidemiologist II at the Alameda County Public Health Department from 2018 to 2021, where they tracked the spread of communicable diseases and led the data response to COVID-19. Robert also managed the HIV Data-to-Care program for the county during this time.

In 2020, Robert participated in the Health Data Science Fellowship at Insight Data Science, where they worked on a churn model and used advanced SQL querying for data aggregation. Robert also held various teaching roles, including Substitute Instructor & TA for Data Analytics at Trilogy Education from 2019 to 2020.

Earlier in their career, Robert worked as a Resident Data Scientist at Method Data Science in 2018, where they developed machine learning models and created targeted marketing strategies. Robert also served as an Epidemiologist at the California Rural Indian Health Board in 2017, where they developed statewide data collection tools and conducted data analysis.

Before that, Robert worked as a Statistician at Zuckerberg San Francisco General Hospital and Trauma Center in 2017, conducting statistical and predictive analyses for multidrug-resistant tuberculosis studies. Robert also held positions at the University of California, Berkeley as a Leadership Fellow and a Graduate Student Researcher, where they participated in a leadership development program and conducted research on population estimation accuracy for genetic disorders.

Overall, Robert's work experience demonstrates a strong background in data science, epidemiology, and machine learning, with a focus on public health and healthcare applications.

Robert Brown completed their education as follows:

- From 2015 to 2017, they attended the University of California, Berkeley, where they earned a Master's Degree in Epidemiology and Biostatistics.

- From 2006 to 2011, they attended the University of California, Davis, and obtained a Bachelor's Degree in Neural Physiology and Behavior (NPB) and Psychology.

In addition to their degrees, Robert also holds several certifications:

- In March 2023, they completed the "Introduction to Bash Scripting" certification from DataCamp.

- In November 2020, they obtained the "Data Scientist with Python Track" certification from DataCamp.

- In July 2020, they completed the "Building Web Applications with Shiny in R" certification from DataCamp.

- In November 2019, they obtained the "Database Design" certification from DataCamp.

- In June 2019, they became a SAS Certified Base Programmer for SAS 9 (CBP) from SAS.

- In May 2019, they completed the "Designing and Analyzing Clinical Trials in R" certification from DataCamp.

- In December 2018, they completed the "Extreme Gradient Boosting with XGBoost Course" from DataCamp.

- In November 2018, they completed the "Joining Data in PostgreSQL Course" from DataCamp.

- In November 2018, they completed the "Machine Learning in the Tidyverse Course" from DataCamp.

- In October 2018, they completed the "Cleaning Data in R Course" from DataCamp.

- In October 2018, they completed the "Foundations of Inference Course" from DataCamp.

- In October 2018, they completed the "Machine Learning with the Experts: School Budgets Course" from an unknown institution.

- In August 2018, they completed the "Multiple and Logistic Regression Course" from DataCamp.

- In July 2018, they completed the "Correlation and Regression Course" from DataCamp.

- In June 2018, they completed the "Data Manipulation with R Track" from DataCamp.

- In June 2018, they completed the "Exploratory Data Analysis Course" from DataCamp.

- In June 2018, they completed the "Reporting with R Markdown Course" from DataCamp.

- In May 2018, they completed the "Intro to SQL for Data Science Course" from DataCamp.

- In March 2018, they completed the "Machine Learning with Python" certification from DataCamp.

- In February 2018, they completed the "Python Programming" certification from DataCamp.