Aditya Malviya
About Aditya Malviya
Aditya Malviya is a Data Scientist currently working at Nabler in Bengaluru, Karnataka, India. He has a background in software engineering and specializes in developing solutions using natural language processing and deep learning techniques.
Work at Nabler
Aditya Malviya has been employed at Nabler as a Data Scientist since 2019. In this role, he focuses on developing end-to-end solutions utilizing natural language processing and deep learning techniques. His work involves processing large sets of structured, semi-structured, and unstructured data, which supports the application architecture of various systems. Aditya's contributions at Nabler reflect his expertise in product research solutions, allowing him to create innovative data-driven applications.
Previous Experience at Tata Consultancy Services
Before joining Nabler, Aditya Malviya worked at Tata Consultancy Services as an Assistant Software Engineer from 2018 to 2019. His tenure lasted one year and took place in the Pune Area, India. During this time, he gained valuable experience in software engineering and data processing, which laid the foundation for his current role in data science.
Education and Expertise
Aditya Malviya earned his Bachelor of Engineering (BE) in Computer Science from the University Institute of Technology, RGPV, where he studied from 2014 to 2018. His educational background provided him with a strong foundation in computer science principles and practices. Aditya has developed expertise in implementing boosting algorithms, regression algorithms, and classifier models, which are essential for data analysis and machine learning applications.
Technical Skills and Proficiencies
Aditya Malviya possesses a range of technical skills relevant to data science and software engineering. He is proficient in using tools from the Hadoop ecosystem, including MapReduce, Pig, Hive, and Sqoop, for data processing tasks. His capability to handle large datasets and implement various algorithms enhances his ability to derive insights and support system architecture effectively.