About

Sreenivas K is a highly skilled and experienced Trainer, Big Data Engineering & Data Science Consultant, Cloud Computing expert, and Certified Big Data Science, Snowflake, Matillion & MLOps / DataOps / AIOps Trainer. With over 16 years of IT experience, Sreenivas is a results-driven, adaptable, and responsible machine learning manager who has worked on tens of enterprise-level AI solutions that have helped organizations transform into data-informed and AI-enabled entities. Sreenivas has extensive experience in Machine Learning, Artificial Intelligence, Data Modelling, Analytics, Mining, and Implementation, with a domain expertise in Customer Analytics, Marketing, Insurance, Banking, Supply Chain Management, Manufacturing, Consumer Packaged Goods (CPG), Retail Analytics, and E-commerce. He has hands-on experience in building end-to-end enterprise-level Machine Learning solutions for complex business scenarios by providing value-driven business solutions. Sreenivas has strong experience in Extraction, Transformation, Loading (ETL) using Snowflake and Matillion, as well as knowledge of the full life cycle of building Data Warehouse. He is experienced in installing, maintaining, and managing Machine Learning environments in AWS, which includes creation/curation of images (with ML packages) that can be used to spin AWS instances. He is also working on a backlog of activities to raise MLOps maturity in the organization. Sreenivas is skilled in deploying, monitoring, and managing large-scale ML models with KuberFlow/MLFlow in Production (both On-Prem Server and AWS - this includes building CI/CD/CT pipeline implementation) using Kubernets, KuberFlow, MLFlow, Docker, DVC, Airflow, and Cortex. He has extensive knowledge in Python, Spark, Data Analytics, Natural Language Processing, deep learning framework such as TensorFlow / Keras and Data Mining using different programming tools, Integration of BI Tools like TABLEAU & TIBCO Spotfire. Currently working as a Principle Cloud Architect at cognida.ai, Sreenivas has previously worked as a Lead MLOps Architect at Constella Intelligence and as a Lead Data Engineering and Data Science | DataOps | MLOps | Snowflake Cloud DW at Mizuho. At Mizuho, he led Big Data Analytics initiatives, evaluated Snowflake Design considerations for any change in the application, and installed, maintained, and managed Machine Learning environments in AWS. He also worked on a backlog of activities to raise MLOps maturity in the organization