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Sunday, October 22 • 10:55am - 11:25am
“Full Stack” Data Science with R for Startups: Production-ready with Open-Source Tools

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In the past 5 years, there has been a rapid evolution of the ecosystem of R packages and services. This enables the crossover of R from the domain of statisticians to being an efficient functional programming language that can be used across the board for data engineering, analytics, reporting and data science.
We’ll illustrate how startups and medium-size companies can use R (or other languages) as a common language for i) engineering functions such as ETL and creation of data APIs, ii) analytics through scalable real-time reporting dashboards and iii) the prototyping and deployment of ML models. Along the way, we’ll specifically identify open-source tools that allow scalable stacks to be built with minimal budgets. The efficiency gained enables small to mid-size teams to provide diverse lateral intelligence across a company.

Speakers
avatar for Ajay Gopal

Ajay Gopal

Chief Data Scientist, SelfScore Inc
Ajay is a DTLA resident who's building his second FinTech Startup Data Science team as Chief Data Scientist at SelfScore. Before that, he built and grew the data science & digital marketing automation functions at CARD.com - a Santa Monica FinTech Startup. In both roles, he has built... Read More →


Sunday October 22, 2017 10:55am - 11:25am PDT
Room F Room F