DataHour: How to Forecast New Product Launches using Data Centric Approach

New Product Forecasting is an approach to forecast new product launches when you don't have sufficient historical data (as the product is just launched).

Most of the organizations follow complicated (and lengthy) manual templates to forecast new products launch. 

This approach has the following two issues: 

• First issue is manual process and maintenance of complicated manual templates 
• Second issue is continuous improvement (as ML is not involved in this approach hence we are not learning from the data). 

In this DataHour, Surya will explain the approach to solve new product launches using a data centric approach. He will also provide you with an approach which utilizes past product launch data, and based on past product launches, how you can create launch profiles and using which you can forecast new products.

Surya has 8+ years’ of experience in Software Engineering, Data Analytics and Data Science with a passion to solve real-world business challenges using Data Analytics.He is proficient in deploying complex machine learning and statistical modeling algorithms/techniques for identifying patterns and extracting valuable insights for the organizational leadership. He is also proficient in translating technical requirements into business specifications for streamlining existing processes and delivering user-centric solutions. He is an expert in designing high-performance, secure, and scalable ML applications on the GCP and Microsoft cloud. Surya has delivered multiple projects in the Banking and Distribution sector.