Sreekhar Ale
About Sreekhar Ale
Sreekhar Ale is the Lead Data Scientist at Coupa Software with extensive experience in data science, machine learning, and software development.
Title and Current Position
Sreekhar Ale currently holds the position of Lead Data Scientist at Coupa Software. He has been with the company since 2022, working in Cincinnati, Ohio, United States. His role involves leading data science initiatives and leveraging his expertise in machine learning and artificial intelligence to optimize Coupa's software solutions.
Previous Roles at Coupa Software
Before becoming the Lead Data Scientist, Sreekhar Ale served in various roles at Coupa Software. He was a Senior Data Scientist - Coupa Search from 2020 to 2022, and a Senior Software Engineer, ML – Coupa Search from 2019 to 2020, both positions located in the Cincinnati Area, KY. He also worked briefly as a Software Engineer from 2018 to 2019.
Professional Background
Sreekhar Ale has a rich professional background that spans across multiple companies and roles. He worked as a Full Stack Developer at Aquiire from 2017 to 2018, and at Predictronics Corp., where he was employed first as an intern and then as a full-stack developer throughout 2016 and 2017. Additionally, he held a part-time consultant position at the University of Cincinnati while pursuing his Master's Degree.
Educational Qualifications
Sreekhar Ale has a Master's Degree in Computer Science with a specialization in data science from the University of Cincinnati, earned from 2015 to 2017. He also holds a Bachelor of Engineering (B.E.) in Information Technology from Chaitanya Bharathi Institute Of Technology, which he obtained from 2010 to 2014. His foundational education includes an Associate's degree from Narayana IIT Academy and primary schooling at St. Andrews High School.
Technical Skills and Expertise
Sreekhar Ale is proficient in multiple programming languages, with over four years of industrial IT experience. He has a strong background in Real Time Search Machine Learning and Artificial Intelligence technologies. Additionally, he is experienced in utilizing Agile scrum methodologies and tools such as TFS, Jira, and Asana throughout the software development life cycle. He has developed expertise in integrating new technologies with enterprise software through rapid prototype development.