JOSIAH BRADY

PROFESSIONAL SUMMARY

Aspiring data scientist with a passion for data visualization, data ingestion/manipulation and machine learning. Experienced in statistical modeling, data analytics, data wrangling and pipelining/ETLing, programming development, and facilitating IT and Business partnerships.

WORK HISTORY

IT Specialist II, 10/2017 - Current

ENTERGY SERVICES, LLC, THE WOODLANDS, TX

Innovated several C# .NET Framework apps that execute VBA macros to gather and present real-time data; collaborated with business department.

Implemented deep learning hierarchical clustering model in R to find similarities between different power plants, embedded into R Shiny web application Engineered pathway for GIS data using spatial SQL joins to transport attributes from Oracle database into OSISoft PI AF data infrastructure tool via .NET (C#) programming.

Organized 250+ million rows of OSISoft PI time series data with R and condensed to ~5-6 million rows of digestible data.

Columnist/Analytics Research Contributor, 11/2016 - 06/2018

FANSIDED [NYLON CALCULUS]/DEF PEN, NBA, New Orleans, LA

Created interactive R Shiny web applications for O/U totals & 7-game series projections with multinomial logistic regression.

Communicated professionally in articles to interpret data and embedded Tableau diagrams that could be easily understood.

Performed text mining with Twitter analytics for word clouds and sentiment analysis.

PROJECTS

Korean Basketball League Data Analytics Project

Built analytics database for Korean Basketball League (KBL) data in PostgreSQL (w/ psycopg2 library in Python).

Used Selenium w/ Python to extract raw text & tables, feature engineered Korean language data according to modern basketball analytics with Pandas & Numpy, and hosted database with Amazon Web Services EC2 instance.

Wrote R Shiny application with SQLite implementation of database for user interactivity and data visualization: https://steadylosing.shinyapps.io/KBLGameAnalyticsApp

EDUCATION

Bachelor of Science, Systems Engineering Applied Science, 05/2016

Washington University in St Louis - St Louis, MO

Houston, TX 77022

713-***-****

admpeu@r.postjobfree.com

SKILLS

Data Wrangling

Database Development

Data Visualization

Parameterized Reporting

Technical Writing

R (& Shiny/Markdown)

Python

.NET Framework, C#

VBA

PostreSQL

AWS EC2

OSISoft PI System

Oracle SQL

Microsoft SQL

Power BI

Tableau

HTML/CSS Excel/Google Sheets

Languages: Korean – Intermediate

PUBLICATIONS

Medium, Explaining hierarchical clustering deep learning methodology for predicting NBA win%: https://medium.com/@SteadyLosing/revisiting-historic-teams-win-projections-with-interactive-sheet-cf03e2bddf86

Nylon Calculus, Predicting playoff berth success with Principal Components Analysis: Nylon Calculus: Predicting NBA Playoff berths and similar scenarios: https://fansided.com/2017/09/19/nylon-calculus-predict-nba-playoff-berths-similar-scenarios/

Def Pen, Twitter Wordcloud Sentiment Analysis: https://defpen.com/2017-18-nba-season-anticipation/

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