▪ Senior machine learning and data engineering leader with 10+ years of experience in leading teams at big companies and startups to drive real business value through innovation and data-driven decision support.▪ Result-oriented Data Science product manager with deep technology background and exceptional ability to create products that solve complex business problems and have resulted in generating millions of dollars in revenue.▪ An energizing, culture-focused coach and mentor. Committed to providing employees clear vision, meaningful feedback and motivating them to achieve unprecedented results. Have developed team members who, are great data scientists and data engineers.▪ Data strategist with a proven track record of strategizing, designing, and implementing advanced analytics technology framework to deliver enterprise Data Science vision and mission. Excellent ability to influence senior leaders with actionable insights by using strong communication and story-telling skills.Technology Skills▪ Designing and developing scalable machine learning infrastructure▪ Designing Retrieval Augmented Generation (RAG) and LLM finetuning using AWS Bedrock, Jumpstart and Sagemaker▪ Designing, building and deploying LLM based models, classification models, regression models, hypothesis testing, A/B testing, optimization models using Python, Spark, SAS and libraries such as Pandas, PyTorch, Scikit-learn, Keras etc▪ Sourcing data from various sources such as SalesForce (CRM), Netsuite (ERP), Hubspot, Hightouch (CDP), SAS Datasets, Flat files etc▪ Architecting and deploying complex data engineering pipelines using Fivetran, Airflow, DBT▪ Architecting Datalake and CDW on S3, Redshift, BigQuery and SnowFlake▪ Architecting MLOps using MLFlow, Sagemaker, VertexAI▪ Visual Analytics using Qlik, Tableau, Looker, Quicksight
Listed skills include Life Cycle Assessment, Climate Change, Energy, Carbon Footprinting, and 27 others.