I am a senior data scientist/data engineer with a pharmacy background (PharmD) and 5+ years of experience in the healthcare data science field. My interests include in software development, data engineering and data visualization for applications in healthcare and public health.

• A repository of various personal data visualization projects

• Spatial data visualization projects completed as a part of 30 Day Map Challenge 2022
• 🏆 Three visualizations longlisted in the Data Visualization Society's Information is Beautiful Awards 2023

• An R package that provides gradient color capability on ggplot2 titles and text labels.

• An R package that allows creating customizable run dates for cron or task scheduler jobs

• An R package that converts PDF holiday dates from the NYC Office of Payroll into an R vector (list data structure) or R data frame.

• A Python library that converts PDF holiday dates from the NYC Office of Payroll into a Python array.

• A full-stack Python Flask application that allows user to upload a dataset and fill a form to develop data dictionary definitions with pre-filled data type field with the purpose of providing a no-code app to document small to medium CSV, Text or Excel datasets.

• A Shiny R app that enables users to develop a baseline characteristics table with a small to medium CSV or Excel dataset input.

• An R script to convert AHRQ PQI PDFs into CSV datasets

• A command-line Python program to parse JSONs into a Python dictionary object

• Gradient color syntax highlighter theme

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1. data-visualizationsdata-visualizationsPublic

   Personal Data Visualization Projects

   HTML 6

2. 30-day-map-challenge30-day-map-challengePublic

   Contributions to the 30 day map challenge using R and Python

   R 18 1

3. gradienttextgradienttextPublic

   A R package that provides gradient color capability on ggplot2 titles and text labels.

   R

4. json-parserjson-parserPublic

   Parser that converts JSON string into Python dictionary object. Inspired by Coding Challenges (https://codingchallenges.fyi/)

   Python