Welcome to our first meetup as Quest Analytics on Wednesday, July 25th!
This time, we will host an exciting data and developer focused evening where we actually get to see real-life challenges the two companies work on every day.
We will have our own Quest Analytics team and a doc.ai team to show you how we work with healthcare data and present you with some major data challenge that you can help us solve.
Both teams are also recruiting, so be sure to check open positions for Quest Analytics San Francisco team here: https://jobs.lever.co/questanalytics/ & for doc.ai https://doc.ai/about#careers. This practical workshop is a great opportunity for you to learn about the data and the data related opportunities each company presents.
Networking, food & drinks provided!
Welcome remarks, a round of talks and getting hands-on with the data challenges our speakers present, followed by a Q&A.
8.30pm: Hang out & chat with the speakers
Your Host: Pauliina Alanen, Quest Analytics
Our speakers are
Diane Kostka, Head of Data Operations, Quest Analytics (BetterDoctor)
Diane Kostka is a technical leader with a passion for using data to help solve healthcare problems. She works as Head of Data Operations at BetterDoctor, where she oversees and executes data operations, ETL, and exports for our health plan clients.
Melinda Heard works as a data engineer at Quest Analytics in Diane’s team. Prior to joining BetterDoctor she was at Privia Health and Kaiser Permanente. At the meetup, she will tell you about some of the biggest challenges with provider data, and brainstorm with the audience best ways to solve them.
Kartik Thakore, Sr. Data Scientist at doc.ai, has worked in the medical data space since 2011. His work brings artificial intelligence and statistical solutions to the medical health care landscape. He led his own startup, AIMED Stat Inc, and then subsequently joined other startups, BetterDoctor and Human API, before joining Doc.ai in 2018. Kartik also shares his data science expertise by advising several other startups in the Bay Area, London and Toronto on machine learning, data engineering and architectural directions.