About

Pavan Wale is a GCP Certified Professional Machine Learning Engineer with over 6 years of experience in the Utilities, Telecom, and Health industries. He is passionate about providing data-driven solutions to aid companies' growth using multiple technologies such as Python, Apache Beam, Composer DAGs, Spark, Google Cloud Platform (GCP), AWS, Terraform, Machine Learning, Hive, Tensorflow, SQL, and PySpark. Currently working at Shell as a Machine Learning Engineer, Pavan is focused on identifying the classes for non-production time using NLP techniques to help improve the oil drilling process. He is using AWS, Python, and YAML config coding for this project. In his past roles at BT, Pavan worked as a Data Science Engineer and Data Scientist, where he built production data pipelines on batch data in GCP. He transformed and processed the data using Apache Beam framework in Python and deployed the pipeline on Google Dataflow runners. He also orchestrated the entire pipeline using Composer DAGs in Apache Airflow in GCP and created all the resources required for the project using Terraform. Pavan also led the AI Factory and Data Science Workspace creation using Terraform, GitLab YAML, and GCP. Pavan's experience also includes enhancing data modeling and decision-making by predicting whether customers will be interested in buying different plans with in the same product in AWS cloud. He has also worked on broadband analytics, predicting the potential customers whose broadband connection would be affected by rainfall in the next one year. Pavan holds a Bachelor's Degree in Computer Science from KLS Gogte Institute of Technology. His technical skills include ML, Data Scientist, GCP, Python, Terraform, AWS, AI, SQL, Spark, Tensorflow, Apache Airflow, NLP, Research Scientist, Apache Hive, Deep Learning, Sagemaker, Hadoop, and Backend. With 6.28 years of relevant experience, Pavan is a highly skilled and motivated Machine Learning Engineer who is passionate about using his expertise to help companies grow and succeed.