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Introduction

Hello, I am Ranjana, a Data Analytics and Program Management professional with over 11 years of experience in supply chain and business operations management across Fortune 500 companies and prestigious global universities. I have a proven track record of driving data-based insights for a $250 million feminine hygiene product category in industry-leading companies such as Procter and Gamble, Unilever, and Suzuki Motors Japan. My educational background includes an MS from the University of Washington, Seattle, as well as an MBA and an Electronics and Communication Engineering (ECE) from top schools in India. I have advanced skills in SQL, Python, R, statistics, machine learning, Google Analytics, and Tableau, enabling me to effectively present and drive data-based decisions.

I hold a Master of Science in Business and Data Science (MSBA, STEM) from the University of Washington, Seattle. My research experience spans the University of Washington, Seattle, and the University of California, Berkeley. My expertise includes:

  • SQL
  • Python
  • R
  • Predictive modeling
  • A/B Testing
  • Statistical methods

I excel in extracting, cleaning, and analyzing large datasets, designing and executing experiments using causal inference, performing descriptive statistics and exploratory data analysis, creating data visualizations, and developing statistical models using machine learning. In addition, I have substantial professional experience in forecasting, data analytics, and program management in market-leading multinational companies such as Procter and Gamble (P&G), Unilever, and Suzuki Motor Corporation, Japan.

Work Experience

  • Graduate Research Assistant, University of Washington, Seattle [2020-2023]
  • Research Assistant, University of California, Berkeley [2018-2020]
  • Program Manager (Demand Forecasting), Procter & Gamble (P&G) [2013-2017]
  • R&D Manager, Maruti Suzuki India Limited (Suzuki Motor Corporation, Japan) [2008-2011]

Education

  • MSBA(Master of Science in Business and Data Science), University of Washington, Seattle, US [2020-2023]
  • MBA(Operations and Supply Chain Management), S P Jain Institute of Management and Research (SPJIMR), Mumbai, India [2011-2013]
  • BTech(Electronics and Communication Engineering), Indira Gandhi Delhi Technical University for Women, New Delhi, India [2004-2008]

I am passionate about coding, problem solving, and learning new skills in areas including ✳️ Machine Learning, ✳️ Data Science, and ✳️ Data Visualization. I love working with different technologies and platforms and I am currently working on:

  • SQL / PostgreSQL
  • Python
  • R
  • Tableau

Ranjana Dobal's Projects

aif360 icon aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

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