Varda Singhal

Experience

• 

  Thumby Aviations

  Aug 2017 - Feb 2018

  Marketing

  Identifying and Defining various marketing strategies for the promotion of Helitaxii

• 

  Flipcarbon Integrated Solutions Private Limited

  May 2018 - Jul 2018

  Business Development Executive Intern

  HR outsourcing in Startups and SME’s

• 

  Kantar

  May 2019 - May 2021

  • Marketing Analyst - Consumer Insights

    Mar 2021 - May 2021

  • Associate Quantitative Analyst

    May 2019 - Mar 2021
• 

  NielsenIQ

  May 2021 - Oct 2021

  Marketing Analyst - Consumer Insights

  1) Led a comprehensive brand tracking study for a leading Direct to Home cable provider using SPSS analytics, uncovering insights on brand equity and market share to guide strategic decisions.2) Conducted detailed analysis of attitudes and usage patterns among cable operators in rural and tier 3 towns, providing insights that increased market awareness by 10%

• 

  Google

  Nov 2021 - Dec 2022

  Business Analyst

  Analyzed user behavior for six Google Ad products to identify improvement areas and provide targeted recommendations, leading to enhanced product performance.

• 

  University of California, Irvine - The Paul Merage School of Business

  Oct 2023 - Aug 2024

  1) Communication and Coordination: Act as the main contact between classmates and the program office, organizing meetings and relaying important information. Collaborate with student council members for broader initiatives.2) Event Planning and Problem Solving: Organize class events and collect feedback to improve the educational experience. Address classmates' issues and represent the class positively in all interactions. Teaching Assistant for MGMT 105 : Introduction to Marketing

  • Student Representative

    Aug 2023 - Aug 2024

  • Teaching Assistant

    Oct 2023 - Jan 2024
• 

  Vudu - Fandango

  Jan 2024 - Jun 2024

  Business Analyst Apprentice

  - Developed predictive model to assess 3-month customer churn risk, utilizing a dataset of 200K customers and 59M records, aiding customer retention initiatives.-Implemented logistic regression,feature selection and random forest algorithms to identify key variables that reduce the chances of churn, achieving an accuracy of 81%

• 

  University of California, San Francisco

  Sept 2024 - now

  Data Analyst