Gokulram Krishnan is a seasoned Data Engineering and Analytics professional with over 14 years of experience driving impactful data-driven solutions across diverse industries, with a particular focus on the application of data science principles. His expertise lies in architecting and implementing next-generation big data and data analytics platforms, enabling organizations to unlock valuable insights from their data and leverage them for data science initiatives. He has a deep understanding of the data lifecycle, from ingestion and processing to analysis and visualization, crucial for successful data science projects. Gokulram possesses a deep understanding of both Waterfall and Agile methodologies, allowing him to effectively manage complex projects and deliver results in dynamic environments, which is essential for the iterative nature of data science development. He has a proven track record of leading and mentoring global teams of 10+ resources, fostering collaboration and driving successful project outcomes, including those focused on data science research and development. Throughout his career, Gokulram has served in various leadership roles, including Management Consultant, leading projects for C-level executives (CTO, CFO, CDO) and developing strategies and solutions for cross-functional teams, often with a data science component. He has also served as a Strategy and Roadmap Advisor, providing strategic guidance and roadmap development for CXO offices, ensuring alignment of data initiatives, including data science projects, with overarching business objectives. His experience as a Solution Architect, driving discussions with cross-platform teams to design and implement robust Solution Architecture, Application Architecture, and Enterprise Architecture, is invaluable for building the infrastructure necessary to support data science workloads. Furthermore, his experience leading Agile scrum teams ensures efficient and effective project delivery for data science initiatives. Gokulram's industry experience spans multiple sectors, including Financial Services (Banking, Mortgage, and Insurance), Healthcare, Automotive, Oil & Gas, and Medicare & Medicaid, providing him with a broad understanding of the data science challenges and opportunities within these domains. His strong technical foundation, including expertise in Big Data Ecosystems (Hortonworks, Cloudera, MapR, IBM BigInsight, and Pivotal distributions), Data Virtualization (Dremio, AtScale, Apache Presto), Frameworks (Spring XD, Java, Hadoop), Databases (Relational, Hive, HBase), Streaming & Messaging (Kafka streaming), Execution Engines (Apache Spark), Scripting (Python & PySpark (Jupyter Notebook), Unix Shell), and Agile Tools (JIRA, Rally, AgileCraft), makes him well-equipped to contribute to the technical discussions surrounding data science. Gokulram is passionate about leveraging data to solve complex business challenges and drive innovation through data science. He is eager to contribute his expertise and experience to the data science conference as a committee member.