About

Pooja Chaudhari is an experienced Data Engineer currently working at Quantiphi Analytics. With over 9 years of relevant experience, Pooja is skilled in various technologies such as SQL, Big Query, Python, Artificial Intelligence and Machine Learning, Looker, Tableau, and Pentaho - ETL tool. Pooja has previously worked at Michelin as a Sr. Consultant- Tableau Developer and at Scriptbees as a Consultant Software Engineer for TechMahindra. Her educational background includes a Post Graduate Program in Artificial Intelligence and Machine Learning from Texas McCombs School of Business, which she completed in 2020, and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Kalinga University, Raipur. Her technical expertise includes Data Engineering, Big Data, SQL, Python, ML, ETL, and Software Engineering. At Quantiphi, Pooja is responsible for designing and implementing data pipelines, data warehousing, and data modeling. She is also involved in developing and maintaining data infrastructure, ensuring data quality and accuracy, and optimizing data delivery and scalability. Pooja is a self-motivated and results-driven individual who is passionate about leveraging data to drive business insights and decisions. She has a strong understanding of data analysis and visualization techniques and is always eager to learn and adapt to new technologies and tools. With her technical skills and experience, Pooja is a valuable asset to any team focused on data-driven solutions.