Arun Bhat
About Arun Bhat
Arun Bhat is a Staff Engineer in Data Science at Altimetrik, where he has contributed to various predictive models and systems that enhance decision-making and operational efficiency. He has a background in Electronics and Communications Engineering from BMS Institute of Technology and Management.
Current Role at Altimetrik
Arun Bhat currently serves as a Staff Engineer in Data Science at Altimetrik, a position he has held since 2019. His work is based in the Bengaluru Area, India, and follows a hybrid work model. In this role, he leads a team of 12 engineers focused on developing reusable generative AI assets for the company. His contributions include the development of various predictive models and systems that enhance decision-making and operational efficiency.
Previous Experience at Altimetrik
Arun Bhat has a history with Altimetrik that dates back to 2019. He initially joined as a Project Intern for four months, followed by a brief tenure as an Associate Software Engineer for two months. During his time in these roles, he gained valuable experience in software development and project management, which laid the groundwork for his current position.
Education and Expertise
Arun Bhat earned a Bachelor of Engineering (BE) in Electronics and Communications Engineering from BMS Institute of Technology and Management. His studies took place from 2015 to 2019, providing him with a solid foundation in engineering principles and practices that he applies in his current data science role.
Key Contributions and Projects
Arun Bhat has played a significant role in developing several impactful models and systems at Altimetrik. He developed a default prediction and propensity to pay models that enhance risk assessment. Additionally, he created an NLP engine that drastically reduced data processing time and implemented a self-service chatbot that improved HR efficiency. His work on a Data-Driven Decision system has contributed to onboarding multiple clients and generating substantial revenue.
Innovations in Data Science
Arun has pioneered several innovative projects in data science, including an ML-based Crop Yield Prediction module that improved prediction accuracy and led to cost savings. He also developed an Employee Attrition Prediction module that increased early detection of attrition. These contributions underscore his expertise in leveraging data science to drive business outcomes.