About

Pritha Chakraborty is a Strategic Cloud Engineer at Google with 8.5 years of experience in AI and Data Engineering, Data Modelling, Data Warehousing, Reporting and Analysis. She is a data and AI enthusiast, Udemy Educator, Youtuber, and mentor. Pritha has extensive experience in Contact Center AI, AI chatbot, Machine Learning in Google Cloud, and has designed data pipeline over Google Cloud while providing Architectural guidance to several organizations as they wanted to get the solutions implemented from Google itself. Pritha has worked on fast mover projects, unique business scenarios, and time-sensitive projects. She has published medium articles in Google Cloud Community Publication and made open-source contributions. She has managed the team of Data Engineers from different vendor organizations, trained a team of Global Delivery Center of Google on Data Vault Modeling, and designed the data architecture and proposed optimal cloud databases for that scenario and optimal data solutions. Pritha has developed Rest APIs and implemented many extra client-specific utilities utilizing BigQuery API and developed enhanced features that were not available in BigQuery inbuilt. Pritha has strong analytical and problem-solving skills, excellent business communication skills, and is a YouTube educator. She has a Personal YouTube channel on Data Modeling, analytics tutorials, and is available for personal tutorials on data modeling and python, SQL, etc. Currently, Pritha is a Success Manager at Google, mentoring Swataleem Foundation for their success towards reduction in the gender gap in education, guiding them from Google. This is a part of Google Impact Challenge for women and girls. In the past, she has worked as a Data Architect in Analytics Projects migrating in Google cloud, leading a team of GCP consultants. Pritha holds a Bachelor of Technology - BTech degree in Computer Science and Engineering from RCC Institute of Information Technology and is currently pursuing a Master of Business Administration - MBA in Information Technology and Systems Management from NMIMS, which she will complete in 2023. Pritha's tech stack includes SQL, AI, Senior Software Engineer, Spark, Python, Data Engineering, ML, GCP, AWS, Apache Hive, Snowflake, Data Warehouse, Scala, ETL, Sentiment Analysis, test, Pandas, Azure, Terraform, Selenium, Apache Airflow, Scikit, Research Scientist, Web, Seaborn, HDFS, CI/CD, Data Scientist, NoSQL, MongoDB, Hadoop, Elastic Search,