MODIFY.
SIMPLIFY.
VISUALIZE.

DAVID STEPHENS • DATA SCIENTIST

About.

DRIVEN BY CURIOSITY

R Programming

The most advanced and flexible programming language for statistical analysis.

Collaboration

I enjoy working with other data scientists to cultivate a transparent and trusting work environment.

NLP

I use text analysis to improve customer service.

Time-Series

Forecasting the future with market impacts as features.

Visuals

Each chart should take 5 seconds to undersand, and another 5 seconds to know what to do next.

Machine Learning

Simplifying mathematical prediction models excites me.

Skills.

1-Basic _ 2-Novice _ 3-Intermediate
4-Advanced _ 5-Expert

Machine Learning

R Programming – 5
Time Series Forecasting – 5
Python – 4
H2O AutoML – 3

Data Mining & Analytics

Looker Studio – 5
Shiny – 4
Power BI/Query – 4
Web Scraping – 4

DevOps

Automated ETL – 5
Databases (SQL) – 4
Google Cloud Platform – 4
Docker – 3

Portfolio.

PUBLIC REPOSITORIES & PROJECTS

Mortgage Rate Forecast

Forecasted the 30-year mortgage rate through the end of 2025, and the expected peak in Q3’23.

Web Harvesting & NLP Analysis

Uncovering click-bait & engagement in 2022’s most popular Medium posts in data science.

Time-Series Forecasting

High-speed iterative forecasting on demand and inventory.

Automated ETL

Scalable, end-to-end data pipeline built in Google Cloud Platform (GCP) from the ground up.

Reviews.

“The automation and analytics was better than expected. David is good about updating our dashboard.

The demand forecasting works well for our business. Now we can plan our inventory instead of guessing.”

Valdivia Accesorios

“We were already on Google, but I’m not technical.  It was a fast turnaround.

I love the dashboards and new KPI’s.

Yukon

“Our data was everywhere, and I had to make sense of it.

After 2 weeks David had all our data in one report. It fits on my phone so I can check sales and inventory anywhere.

The automation is great.”

Vallardo Joyas