Extensive experience spanning over 19 years in various technical domains. Have in-depth knowledge in Java, J2EE, BigData, and IBM Infosphere MDM, working with DB2, Oracle, and WAS. I have led Data Science teams, implementing models for diverse applications like call center data, email spam detection, Smart Ingestion, and Graph-based 360 views.My skillset extends to Big Data engineering tools, including Hadoop, Pig, Sqoop, Hive, Oozie, HBase, Elastic Search, Python, and Spark. I have experience in developing Customer Data Lake solutions for insurance clients using the AllSight platform and in managing retail customer data through Big Data solutions, including data transformation and cleansing.I have experience with MDM 11.5 upgrades, Object-Oriented Analysis & Design (OOAD), and unique design methodologies/process frameworks like SDLC, using tools such as UML and Rational Rose. Also have experience in project planning for Agile methodologies.In the field of machine learning, have knowledgeable and hands-on with various libraries such as numpy, pandas, seaborn, scikit-learn, TensorFlow, keras, langchain, mlflow, kubeflow. I possess excellent communication, interpersonal, and analytical skills, and I approach tasks with a can-do attitude. My proficiency in debugging, along with a commitment to meeting deadlines and delivering results, underscores my dedication to achieving goals.I am enthusiastic about pursuing a challenging technical career.
Listed skills include Master Data Management, Soa, Websphere, Solution Architecture, and 17 others.