Technology leader with 24+ years of experience in data engineering, AI and analytics on Finance, Healthcare, Insurance and Retail verticals.13 years of experience in Data Engineering and 6+ years of experience in Data Science and Machine Learning.Passionate and hardworking professional and love to wear multiple hats.Worked as Director of Data and Analytics, Lead and manage team of 30+ data engineers and data scientists, on-site and offshore for successful delivery.Successfully participated in presales workshops to present data and analytics capabilities and bring potential customer inboard.Worked as Chief Data Architect and architected, designed and helped develop the analytics solutions on Big Data and analytics platforms on various clouds.Worked as Chief Data Scientist to execute mission critical Machine Learning and AI projects.Experience in Data management, software development life cycle, data modeling and architecture using Hadoop, Spark, AWS, Big Data, NoSQL, Java and Machine Learning.A hard-working professional eager to advance skills through a constant learning process and collaboration.Visionary and goal-oriented Manager with demonstrated experience in planning, developing, implementing, administering and supporting cutting edge information solutions to address business opportunities.Proficient in machine and deep learning and worked on multiple mission critical predictive analytics projects.Quality-driven and hardworking with excellent communication and project management skills.Known for using the right set of tools when and where it makes sense and creating an intuitive and proven architecture that helps organizations effectively. Enthusiastic leader eager to contribute to team success through hard work, attention to detail and excellent organizational skills.• Data Architecture, Dimension and Fact modeling, Star Schema, Predictive modeling and AI • Machine learning, Statistical Exploratory Data Analysis, Git, Recommendation Engine, Binomial Classification, Linear Regression• Tree based Ensemble method, Times series forecasting, Clustering, Customer segmentation• AWS, Azure and Google Cloud, Apache Spark, Redshift and Google Big Query MPP, Synapse, Snowflake