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Toronto Apache Spark #16
January 25, 2017 @ 7:00 pm - 9:00 pm
Scaling Data Science: A people and organization perspective
6:30PM to 7:00PM – Opening and networking (Refreshments provided)
7:00PM to 8:30PM – Scaling Data Science: A people and organization perspective
8:30PM to 9:00PM – Networking
Title: Scaling Data Science: A people and organization perspective
Description: Big data and Machine Learning is a fast evolving world. From community-driven open source projects and machine-learning-as-a-service platforms to brave new worlds of real-time data applications and deep learning. While technology like Spark enable companies to productize analytics and machine learning solutions, people are the drivers and organization is the spark. Ashwin will talk about what he’s learned is the key for companies seeking to unlock the value of their big data.
Target audience: Data Scientist, Data Engineer, Startups, Engineering Team Leads
Level: Intermediate – Not Technical
Speaker: Ashwin Tumne, Director of Data Science from Flipp is a Big Data junkie who’s built + managed teams of data engineers and data scientists through his past few roles. A veteran of the start-up space, he has built + managed teams of engineers and scientists in the Mobile technology space. He is a Machine Learning + Big Data enthusiast and his past experience has taught him that success and scale in Data Science comes from investing in people. His tech expertise and past experience has spans multiple domains, including telecom, banking, e-commerce, biotechnology, mobile and social media sectors. He is also organizer of the Toronto Machine Learning meetup and is an active community organizer in the data science space. In his current role as Flipp’s Director of Data Science, Ashwin oversees the development of the company’s Data Analytics and Machine Learning organization, from retail intelligence solutions to analytics, recommender, and search solutions powering Flipp’s consumer App experience. Experiencing zero gravity is on his to-do list.
Special Thanks to:
– Akshay Nikam