About

I'm an analytics leader in the gaming industry committed to data analysis that drives organizational KPIs, informs user behavior, and builds better, smarter products. Throughout my tenure in the tech and gaming industries, my teams and I have built many predictive quantitative models, multiple product dashboard suites, multiple telemetry taxonomies, hundreds of ETLs, web crawlers, an anomaly detector, and a million-dollar bot that prioritized which ads to service which users. Countless of times, I've done ad-hoc work, solved problems, shined light on issues previously unknown, surfaced user archetypes previously unseen, and pinpointed the cause to increases and decreases in KPI performance. And although the teams, games, and colleagues always tend to differ, I've seen continued success by trying to hold myself and my data colleagues to these key principles:

1. Feel most at home in R or Python. Everything else is a crutch.
2. Continue to remind yourself of the bigger picture and do not get lost in the day-to-day.
3. Be malleable and understand no ask is impossible, too large, or too far outside your wheelhouse.
4. Be rigorous in requiring sound reasoning as to why a request is necessary
5. Make it a goal to automate or dashboard any request you receive 4 or more times
6. Proper project MGMT, documentation, & mentoring make for a happy data team
7. Be polite and courteous in the workplace. Drama-free environments are productive ones.

I love playing and analyzing games. Holistically understanding your multiple player types and what drives them is key to achieving success in the design, project management, art, UI/UX, and engineering spaces. I think when done right, proper analytics serves all disciplines.

If you want to chat about analytics, data teams, game design, or anything else related, feel free to send me a message: contact@huntercalvert.com

Languages: R, SQL, Unix/Linux, Python, HTML/CSS
Technologies: R Shiny, R markdown, Hive, Tableau, MS Suite, Redshift, S3, PostgreSQL
Most Beloved R Packages: highcharter, shiny, dplyr/tidyr, RColorBrewer
ML Techniques: Regression, Clustering, Dimensionality Reduction