Ashwin Habbu is a Principal Data Scientist at Capital One, where he leverages his extensive experience in big data processing and analytics to drive impactful business decisions. With a strong foundation in Spark SQL and PySpark, Ashwin excels in managing end-to-end machine learning projects, collaborating...
Ashwin Habbu is a Principal Data Scientist at Capital One, where he leverages his extensive experience in big data processing and analytics to drive impactful business decisions. With a strong foundation in Spark SQL and PySpark, Ashwin excels in managing end-to-end machine learning projects, collaborating closely with both business and technology teams to ensure alignment with strategic objectives. His role involves not only the design and implementation of robust data infrastructure but also the deployment of production-level code using Python, showcasing his proficiency in software development.
One of Ashwin's key projects involved leading the infrastructure design for a highly scalable data processing system that significantly improved the efficiency of data analytics workflows. By identifying trends through advanced analytics, he has been instrumental in providing actionable insights that inform critical business strategies. His expertise in Agile methodologies allows him to adapt quickly to changing requirements and deliver high-quality results in a fast-paced environment.
In addition to his technical skills, which include proficiency in programming languages such as C++, Java, and MySQL, Ashwin is adept at utilizing tools like JIRA and Microsoft Excel to streamline project management and data analysis processes. His commitment to continuous learning and innovation positions him as a thought leader in the field of data science, making him a valuable asset to Capital One and the broader financial services industry. Through his work, Ashwin not only enhances operational efficiencies but also contributes to the development of data-driven solutions that empower the organization to stay ahead in a competitive landscape.