Raghavendra Galagali
About Raghavendra Galagali
Current Position at Quest Global
Raghavendra Galagali is currently serving as a Data Scientist Lead at Quest Global in Belagavi, Karnataka, India. In this role, he leverages his extensive knowledge in data science technologies, including machine learning, deep learning, and natural language processing (NLP). He also utilizes his skills in OpenCV and his proficiency in various programming languages, such as Python, Java, Groovy, and HTML, to lead data science initiatives and manage projects.
Experience at ZF Group
Before joining Quest Global, Raghavendra Galagali worked at ZF Group as a Team Lead from 2019 to 2022 in Hyderabad, Telangana, India. During his three-year tenure, he was responsible for overseeing team activities, implementing data-driven solutions, and managing various aspects of software development and release management.
Previous Roles at Continental
Raghavendra Galagali held several positions at Continental between 2013 and 2019. He started as a Senior Software Engineer and then transitioned to a Module Lead role for 11 months in 2016. Later, he was promoted to Technical Specialist, a position he held from 2017 to 2019. His responsibilities included software engineering, exploring new technologies, and leading technical projects within the organization.
Educational Background
Raghavendra Galagali holds a Post Graduate Diploma in Machine Learning and Artificial Intelligence from the International Institute of Information Technology Bangalore, completed between 2020 and 2021. He also earned a Bachelor of Engineering (BE) in Computer Science from Visvesvaraya Technological University, where he studied from 2004 to 2008. He completed his schooling at Jawahar Navodaya Vidyalaya (JNV) from 1997 to 2002.
Certifications and Courses
Raghavendra Galagali has completed numerous professional courses and certifications, enhancing his expertise in the field of data science. He completed a series of five courses on deep learning from Coursera and the Data Scientist with Python track from DataCamp. Additionally, he holds certifications in Big Data & Hadoop from Edureka and is an Oracle Certified Professional.
Technical Skills and Tools
Raghavendra Galagali is proficient in several programming languages, including Python, Java, Groovy, and HTML. He is skilled in using data science technologies like machine learning, deep learning, NLP, and OpenCV. He is familiar with a variety of other technologies such as Gradle, Jenkins, JFrog Artifactory, Azure DevOps, Git, GitHub, SVN, and PTC Integrity. Additionally, he frequently uses integrated development environments (IDEs) like Spyder, Jupyter Notebook, and Eclipse.