Rajlakshmi Saikia
About Rajlakshmi Saikia
Rajlakshmi Saikia is a Data Scientist with expertise in Artificial Intelligence, Natural Language Processing, and Machine Learning. She has a strong academic background, holding an M.Tech in Computer Science and Engineering from the Indian Institute of Technology, Guwahati.
Work at KPMG India
Rajlakshmi Saikia serves as a Data Scientist at KPMG India. She has been with the company since 2019, contributing her expertise in data science to various projects. Her role involves leveraging advanced technologies to develop data-driven solutions that meet client needs. Her work focuses on the application of machine learning and data analytics to enhance business processes.
Current Position at Recommender Labs
In addition to her role at KPMG India, Rajlakshmi Saikia is also a Data Scientist at Recommender Labs. She has been part of the team since 2017, where she develops scalable industry applications utilizing artificial intelligence and machine learning techniques. Her work at Recommender Labs emphasizes the integration of natural language processing to improve user experiences.
Education and Expertise
Rajlakshmi Saikia holds an M.Tech in Computer Science and Engineering from the Indian Institute of Technology, Guwahati, where she studied from 2014 to 2017. She completed her B.Tech in Computer Science and Engineering at Tezpur University from 2009 to 2013. Additionally, she has a background in science from Dhemaji College and completed her high school education at Dhemaji Girls Higher Secondary School.
Research Experience
Rajlakshmi Saikia has research experience in machine learning and natural language processing. Her academic background and professional roles have equipped her with the skills necessary to conduct research and apply findings to real-world applications. This experience supports her work in developing innovative solutions in her current positions.
Technical Competencies
Rajlakshmi Saikia possesses a range of technical competencies that include natural language processing, machine learning, deep learning, data mining, and proficiency in Python. These skills enable her to tackle complex data challenges and contribute effectively to her projects in data science.