Rahul Reddy
About Rahul Reddy
Rahul Reddy is a Data Scientist and Machine Learning Engineer with extensive experience in applying machine learning algorithms and streamlining data processes. He has worked at notable organizations such as Thomson Reuters, Mayo Clinic, and UBS, utilizing various AI/ML tools to enhance operational efficiency.
Work at Thomson Reuters
Currently, Rahul Reddy serves as a Data Scientist/Machine Learning Engineer at Thomson Reuters in Eagan, Minnesota, United States. He has been in this role since 2021, contributing to various data science initiatives. His responsibilities include leveraging advanced machine learning techniques and tools to enhance data-driven decision-making processes within the organization.
Previous Experience at Amway
Rahul Reddy worked as a Data Scientist at Amway from 2017 to 2019 in Delhi, India. During his tenure, he applied diverse machine learning algorithms and streamlined data retrieval processes, which contributed to improved operational efficiency. His work involved utilizing SQL for data analysis and enhancing decision-making capabilities.
Experience at Mayo Clinic
From 2019 to 2021, Rahul Reddy held the position of Data Scientist/Machine Learning Engineer at Mayo Clinic in Rochester, Minnesota, United States. In this role, he focused on the development and maintenance of AI/ML solutions, integrating various data science technologies to improve analytical capabilities.
Education and Expertise
Rahul Reddy earned a Bachelor of Technology (BTech) in Computer Science from Jawaharlal Nehru Technological University, completing his studies from 2011 to 2015. His educational background laid the foundation for his expertise in machine learning and data science, which he has applied throughout his career.
Technical Skills and Tools
Rahul Reddy has extensive experience with various machine learning algorithms, including random forest, boosted tree, SVM, neural networks, and deep learning using TensorFlow. He has utilized industry-leading AI/ML tools such as Google Vertex, GCP, AzureML, MLFlow, Airflow, and AWS Sagemaker. His proficiency in SQL and dashboard visualization with Grafana further enhances his analytical capabilities.