Summary
Overview
Work History
Education
Skills
Projects
Websites
References
Timeline
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PARAG DHARBHAMULLA

Johnstown,PA

Summary

Data Analyst with 3+ years of experience in research data analytics, specializing in biobehavioral health research. Proficient in statistical analysis using R, Python, SAS, and Minitab, data visualization with Tableau, and database management with SQL. Proven ability to extract actionable insights from complex datasets to inform research strategy and publications with a strong background in behavior analytics.

Overview

3
3
years of professional experience

Work History

Biobehavioral Health Research Coordinator

Penn State University
State College, PA
01.2019 - 01.2022
  • Spearheaded the collection, management, cleaning, and analysis of complex datasets for NIH-funded research projects investigating the impact of cannabis use and addictive behaviors, significantly enhancing the validity and reliability of study findings.
  • Conceptualized and developed innovative data collection instruments using RedCAP and Qualtrics, improving data accuracy and efficiency while adhering to strict research protocols.
  • Co-authored multiple published studies by designing and executing comprehensive statistical analyses, contributing to a deeper understanding of addictive behaviors, and influencing evidence-based practices.

Education

Master's Degree - Applied Statistics

Penn State University
University Park, PA
12-2024

Bachelor of Science - Psychology, Economics Minor

Penn State University
University Park, PA
01.2019

Skills

  • R (dplyr, tidyr, ggplot2)
  • Python (NumPy, Pandas, Scikit Learn, Cufflinks)
  • SQL
  • SAS
  • Tableau
  • Power BI
  • Minitab
  • Excel

Projects

Market Data Project 

  • Utilized data mining and supervised learning techniques (EDA, PCA, regression models) to predict housing prices using market data from previous years. Model exhibited RMSE within 1/5 standard deviation of overall dataset.

Data Mining Project 

  • Leveraged R and data mining techniques including EDA, PCA, Ridge/LASSO regression, clustering, classification models, and GAMs to predict in-game achievement metrics using Call of Duty player data and identify key predictive features to optimize player strategy and enhance gameplay outcomes.

Epidemiological Data Visualization Project 

  • Used Tableau to visualize mental illness distribution between states to inform state-level factors contributing to poor mental health outcomes.

References

References available upon request.

Timeline

Biobehavioral Health Research Coordinator

Penn State University
01.2019 - 01.2022

Master's Degree - Applied Statistics

Penn State University

Bachelor of Science - Psychology, Economics Minor

Penn State University
PARAG DHARBHAMULLA