Data Analyst Python

Christopher Cole

adh0eq@r.postjobfree.com • 859-***-**** • www.linkedin.com/in/chrjcole •

https://github.com/christopher-cole

EDUCATION

Master of Science in Statistics

University of Arizona Tucson, AZ • December 2020

Relevant Coursework: Advanced Statistical Regression Analysis • Applied Multivariate Statistics in Education • Design of Experiments • Biostatistics for Research • Applied Time Series Analysis Bachelor of Science in Informatics • Cognate: Business • Minors: Mathematics, Philosophy Indiana University Bloomington, IN • May 2018

Relevant Coursework: Computing Tools for Scientific Research • Python for Data Analysis • Introduction to Health Informatics

TECHNICAL SKILLS

R • Python • SAS • MATLAB • SQL • GitHub • Excel • Access • HTML • PHP • CSS • MySQL • XML • SQL Server • Photoshop • JavaScript • JQuery

EXPERIENCE

Biomarker Programming Intern at Gilead Sciences, Inc., Foster City, CA June 2020 - August 2020

• Developed an R-Shiny app that displayed biomarker data in an interactive page and showcased it to 60+ people within the Biometrics department at the end of the summer

• Collaborated with a team and explored new technologies to increase biomarker programming efficiency and analysis reproducibility

• Implemented statistical features that the team can now showcase more easily for future health data through using modules

Master’s Thesis at University of Arizona, Tucson, AZ August 2019 - May 2020

• Studied benchmark doses and assessing risk in multiple stimuli, which is rare and less common than one factor data in risk assessment

• Ran computer intensive Monte Carlo simulations in order to find coverage probabilities

• Presented these findings in a master’s thesis which was successfully defended to three faculty members. Data Science Intern at Cisco, San Jose, CA May 2019 - August 2019

• Performed sentiment analysis on text-based columns in case dataset in order to help identify customer satisfaction

• Used sentiment analysis findings to create word clouds and n-grams to pinpoint phrases that were common in escalated cases

• Created a model to help try to predict which cases would escalate given certain criteria and articulated the findings to my team in a conference

Data Analyst Intern at LexisNexis Risk Solutions, Martinsville, IN June 2017 - August 2017

• Produced queries in SQL Server to find police reports that met specific criteria analyzing hundreds of reports a week

• Quantified information from police reports by making charts and pivot tables using Excel

• Ensured that information entered was transferred accurately by parsing the XML files of police reports

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