Data Analytics

Data-driven insights and analytical solutions

Analytics Approach

I specialize in transforming complex datasets into actionable insights through statistical analysis, machine learning, and data visualization techniques.

Analytics Projects

Visual Inspection Assistant
Visual Inspection Assistant

Tools: R, Tidyverse, Shiny
Client: Research/Clinical Aid

Developed an interactive app that assists users with clinical decision-making. The app allows users to upload data and visualize it in a standardized format and applies criterion lines to the data to assist with clinical decision-making.

R Tidyverse Shiny Clinical Decision-Making tools
View Application GitHub

Technical Skills

Programming Languages
Python R SQL JavaScript HTML CSS
Analytics Tools
Pandas NumPy Tidyverse Shiny
Visualization
Power BI Matplotlib Seaborn
Data Management
PostgreSQL

Analytics Process

1. Discovery

Understanding project objectives and data requirements

2. Collection

Gather and clean relevant datasets

3. Analysis

Applying statistical techniques and visualize

4. Insights

Develop explanatory story and deliver actionable recommendations