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Apurva Sinha

Staff Data Scientist
Walmart
Picture
Apurva is a Data Scientist at Walmart Global Tech in Sunnyvale, California with 6 years of experience in building data driven solutions. She is currently working as part of Data Strategy & Insights team, building a multi-class classification algorithm for assigning shelves to products under Walmart.com, leveraging product attributes. Apurva has a Master's degree in Business Analytics from The University of Texas, Dallas. ​

Workshop: An Introduction to Time Series Forecasting
October 27, 9:30-10:15am PST

Forecasting using time series data is a hot topic of research and is applied to a variety of use-cases to make important decisions - wherever there are changes with time (seasonal or trend) such as e-commerce orders, stock market prices, weather prediction, demand and usage of products, etc. This workshop will cover time series analysis that attempts to understand the nature of the series and is useful for future forecasting along with the overview of popular forecasting models such as ARIMA, SMA, SES, Prophet followed by a case-study walk-through.

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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee