Sanyogita Grover

Sanyogita Grover

Data Science, Analytics Iii @ Expedia

About Sanyogita Grover

Sanyogita Grover is a Data Science, Analytics III at Expedia Group, specializing in data pipeline workflows, data quality assessment, and machine learning solutions.

Title at Expedia Group

Sanyogita Grover currently serves as Data Science, Analytics III at Expedia Group. Her role involves developing tools and frameworks for data quality assessment and building solutions using FastAPI for market insights and competitive analysis. She collaborates with the product team to develop machine learning use-cases and technical assets for end-to-end pipelines, focusing on areas such as demand forecasting, MLOps pipelines, and personalization models.

Previous Experience at Expedia Group

Before her current role, Sanyogita Grover worked as a Sr Business Analyst at Expedia Group from 2018 to 2021 in Gurgaon, India. During this time, she co-led initiatives to build tools for responsible data pipeline workflows and was involved in developing a widely used Data Quality Assessment Framework.

Experience at American Express

Sanyogita Grover has a significant background in risk analysis from her time at American Express. She held the position of Manager - Risk Analyst from 2017 to 2018 and Assistant Manager - Risk Analyst from 2015 to 2018, both roles located in Gurgaon, India. In these positions, she honed her skills in data analysis and risk management.

Education Background

Sanyogita Grover holds a Bachelor of Technology (B.Tech.) in Electrical, Electronic and Communications Engineering Technology/Technician from Manav Rachna College of Engineering, which she completed from 2008 to 2012. Additionally, she earned a Diploma of Education in Statistics from Indira Gandhi National Open University (IGNOU).

Early Career at Orange Business Services

Sanyogita Grover started her career at Orange Business Services as a Customer Analytics - Analyst from 2012 to 2015. During her tenure in Gurgaon, India, she gained valuable experience in customer analytics, setting the foundation for her later roles in risk analysis and data science.

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