In this post-pandemic era, businesses of all sizes are heavily relying on machine learning and artificial intelligence to facilitate better decision making. However, to take full advantage of data science, AI and ML, it’s important to master the art of managing big data. In addition, one should understand the dynamics of big data — including cleaning, filtering and modifying it — to create effective machine learning models. The meteoric rise of machine learning has propelled the demand for professionals with data and analytics competencies.
The webinar will cover —
- What is big data?
- What is data engineering, data science and analytics?
- What do data scientists do?
- Skills required for a data scientist
- How to get started on the data science journey?
- Use cases from Swiggy on data science and analytics.
Who should attend:
- Data scientists & analysts
- Data engineers
- Data science & analytics enthusiasts
- Students, freshers & working professionals interested in the data science domain
About the Speaker:
David Zakkam is the Vice President and Head of Analytics at Swiggy. He has around 18 years of experience in analytics and data science. At Swiggy, David’s team focuses on problems in the hyperlocal delivery and food-tech space. The team is currently working on providing a better customer experience, ensuring the safety of everyone involved, helping restaurants grow through insights, ensuring drivers get good pay for their work, and evaluating new business models. Before Swiggy, David was at Mu Sigma, where he consulted 23 companies across nine verticals, led an analytics team of over 450 people and managed senior client relationships in Europe and the US. He has done his studies in IIT Delhi (2001) and IIM Calcutta (2006). Outside of analytics, he loves playing the drums, singing, learning new languages and sports.
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