Forecasting- Applications, Techniques, and Hands-On Approaches
Forecasting- Applications, Techniques, and Hands-On Approaches
13 May 202413:05pm - 13 May 202414:05pm
Forecasting- Applications, Techniques, and Hands-On Approaches
About the Event
Forecasting plays a pivotal role in data science, enabling businesses to anticipate future trends, make informed decisions, and optimize operations. This presentation explores the multifaceted landscape of forecasting, encompassing diverse applications, sophisticated techniques, and practical hands-on examples. Participants will gain insights into real-world use cases, cutting-edge methodologies, and experiential learning opportunities to enhance their forecasting skills.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Pulkit is a data scientist with seven years of experience, currently employed at Microsoft. He holds a graduate degree from IIT Roorkee. At Microsoft, Pulkit leads initiatives in Demand Forecasting and Capacity Planning for Azure Cloud. His responsibilities entail the implementation of advanced Machine Learning (ML) algorithms and Statistical Techniques to accurately forecast customer capacity consumption.
Prior to this, Pulkit worked at LinkedIn, where he focused on enhancing Job Quality through the utilization of Causal Frameworks, piloted MultiModal Approach in Content Moderation. Additionally, he defined Metric Strategy and True North metric for Customer Value Conversations. Before his venture into LinkedIn, Pulkit worked at Affine Analytics, collaborating with diverse gaming clients
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