With business landscapes constantly evolving in the face of large data volumes, now is the right time to broaden your skillset and transform your career in Data Science!

 

Join us for an interactive webinar with MIT IDSS’ Data Science & Machine Learning Program Alumnus Rohit Krishna Kandaswami as he shares how the program empowered him with the skills and confidence required to make a successful career transition into a new role in data science at Infosys- a global leader in IT industry.

 

This session will help you understand:

- How data science skills can help you in your career transition

- How you can unlock new opportunities with a critical data-driven mindset

- Why MIT IDSS’ Data Science & Machine Learning Program is the right choice if you want to make a successful switch to a career in Data Science

 

Through this session, we will also take you through the course structure, curriculum details, mentored learning, and answer all of your questions in a Q&A round.

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About Speakers

Rohit Krishna Kandaswami

Application Development Analyst at Infosys

Rohit Krishna Kandaswami, currently working as an Application Development Analyst at Infosys, is one such professional who advanced his career with the PGP in Data Science and Machine Learning. Having studied and interned with multiple prestigious organizations and institutions in research and development capacities, His focus leans towards product management, quality, and Lean Six Sigma-influenced work.

Ajanta Chakraborty

Head of Marketing and Partnerships at Great Learning, North America

Ajanta Chakraborty is the Head of Marketing and Partnerships at Great Learning, North America. With over 15 years of work experience across industries, she has worked in roles ranging from software engineer to Principal Consultant and eventually her current profile. Ajanta is also an experienced entrepreneur and children’s book publisher, as well as an author. Her expertise includes Marketing, Software Development, Technology Consulting, and Software Solutions.

Data Science and Machine Learning: Making Data-Driven Decisions

The Data Science and Machine Learning: Making Data-Driven Decisions Program has a curriculum carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions.

This data science program has been designed for the needs of data professionals looking to grow their careers and enhance their data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning to deep learning, network analytics, to recommendation systems, graph neural networks, and time series. Hence, the program is best suited for learners with prior exposure of having worked with data using some tools, and applying basic algorithms and methods.