Today’s fast-changing business climate demands real-time visibility and up-to-the-minute recommendations from data and analytics, especially in marketing and product.
This in turn depends on (a) clearly defined projects, (b) data acquisition, blending, exploration, (c) feature engineering, model training, evaluation, (d) model deployment, monitoring, and rebasing.
Hence, there is a growing consensus that data science should be an integral component of all metrics and strategies, not an afterthought.
Join Dmitri Kanzanski, Head of Product for MGID in North America (alumnus of the Applied Data Science program by MIT Professional Education), on how to deploy sophisticated data science algorithms to advertise to the right audience at the right moment.
Agenda for the session
- Key insights on building a strong career in data science
- Dmitri's first-hand experience of the Applied Data Science Program
- Live Q&A session for all your queries
About Speakers
Dmitri Kanzanski
Head of Product, MGID
Dmitri Kanzanski is an accomplished data scientist who is currently working as MGID's Head of Product. With a professional background in technology, statistics, and computer hardware engineering, Dmitri transformed his skills to close a knowledge gap in the field of data science, facilitating his organization in generating significant revenue.
Viplove Raj Sharma
Associate Director, Great Learning
Viplove Raj Sharma is Associate Director at Great Learning. He has close to 11+ years of experience in analytics and data science, consulting senior management, and leadership across geographies, industries & functions. He was earlier at Royal Melbourne Institute of Technology, Melbourne, and Mu Sigma, Bangalore. He currently leads Great Learning’s international delivery of programs across data verticals.
MIT Professional Education's Applied Data Science Program
The Massachusetts Institute of Technology (MIT) is recognized as one of the world’s best universities. The Applied Data Science Programme stands as the best for its outstanding combination of MIT academic leadership, live virtual teaching by MIT faculty, and application-based pedagogy. The Applied Data Science Programme allows you to position yourself as a data science enabler by obtaining industry-valued data science skills.
