Jagan J
About Jagan J
Jagan J is a Data Scientist with experience at Huawei Technologies India and currently at Truecaller. He holds a Bachelor's degree in Electronics and Communications Engineering and is pursuing a Master's degree in Artificial Intelligence and Machine Learning.
Work at Truecaller
Currently, Jagan J serves as a Data Scientist at Truecaller, a role he has held since 2022. Based in Bengaluru, Karnataka, India, he focuses on leveraging data analytics to enhance user experience and improve the functionality of Truecaller’s services. His work involves analyzing large datasets to derive insights that inform product development and marketing strategies.
Previous Experience at Huawei Technologies India
Jagan J worked at Huawei Technologies India for a total of five years, from 2017 to 2022. Initially, he joined as a Software Engineer for 11 months, where he contributed to various software development projects. He then transitioned to the role of Data Scientist, focusing on big data solutions for Huawei Mobile Services. His responsibilities included developing data-driven marketing strategies and enhancing user engagement through data analysis.
Education and Expertise
Jagan J holds a Bachelor of Engineering in Electronics and Communications Engineering from Sree Sastha Institute of Engineering and Technology, completed in 2017. He is currently pursuing a Master of Engineering in Artificial Intelligence and Machine Learning at the Birla Institute of Technology and Science, Pilani, expected to finish in 2024. Additionally, he has been studying at Springboard, focusing on AI and Machine Learning since 2020.
Technical Skills and Projects
Jagan J has explored various machine learning libraries, including SKLearn and SparkMLLib, emphasizing model improvement techniques such as regularization, optimization, and normalization. During his tenure at Huawei, he developed a GDPR feature for Huawei modems and contributed to the mac64-bit porting of a UI application on the QT platform. He also enhanced features by integrating Apple frameworks into multiple modules.