Pratyush Shastri
About Pratyush Shastri
Pratyush Shastri is a Manager of Data Analytics at KPMG Global Delivery Center, where he has worked since 2022. He has a background in Chemical Engineering from the Indian Institute of Technology Gandhinagar and has held various roles in data analytics and data science.
Work at KPMG Global Delivery Center
Pratyush Shastri serves as the Manager of Data Analytics at KPMG Global Delivery Center. He has held this position since 2022. In this role, he applies his expertise in data analytics to manage projects that involve extracting insights from large datasets. His responsibilities include overseeing data mining processes and ensuring that the insights generated are effectively communicated to stakeholders.
Previous Experience at Amdocs
Prior to his current role, Pratyush Shastri worked as a Data Scientist at Amdocs from 2019 to 2021. During his tenure, he focused on leveraging data analytics to drive business decisions. His work involved analyzing complex datasets and developing models to enhance operational efficiency.
Career at eClerx
Pratyush Shastri has extensive experience at eClerx, where he held two significant positions. He worked as a Senior Data Analyst from 2014 to 2015, followed by a role as a Senior Business Intelligence Developer from 2016 to 2019. In these roles, he specialized in backend development of data pipelines and business intelligence solutions, transforming raw data into actionable insights.
Education at Indian Institute of Technology Gandhinagar
Pratyush Shastri completed his Bachelor of Technology (BTech) in Chemical Engineering at the Indian Institute of Technology Gandhinagar from 2010 to 2014. His education provided a strong foundation in engineering principles, which he later applied in the field of data analytics.
Skills and Specializations
Pratyush Shastri specializes in data mining and the development of data pipelines. He focuses on transforming raw data into meaningful insights that can inform business strategies. Additionally, he is passionate about exploring new technologies and is a self-learner in data science and machine learning, continuously enhancing his skill set in these areas.