Nikita Sharma
About Nikita Sharma
Nikita Sharma is a Junior Data Analyst currently working at Assignar in Sydney, Australia. With a background in Civil Engineering and Data Science, Sharma has experience in various data-related roles and contributes to the AWS Community Builder program.
Current Role at Assignar
Nikita Sharma currently holds the position of Junior Data Analyst at Assignar, where she has been employed since 2021. In this role, she focuses on developing and managing customer-facing data models and reporting. Her work aims to improve user interaction with data, contributing to the overall efficiency of data handling processes.
Previous Experience in Data Science
Before joining Assignar, Nikita Sharma gained diverse experience in data science roles. She worked as a Data Scientist at Lumaway for two months in 2019, followed by a four-month tenure at hoolah later that same year. Additionally, she served as a Research Data Scientist at the University of Sydney for two months and as an AI Analyst at Culinda Inc. for six months from 2020 to 2021.
Educational Background in Engineering and Data Science
Nikita Sharma completed her Bachelor of Technology in Civil Engineering at Vikash Institute of Technology from 2010 to 2014. She furthered her education by obtaining a Master of Technology in Structural Engineering from Kalinga Institute of Industrial Technology between 2014 and 2016. Later, she pursued a Master of Data Science at the University of Technology Sydney, graduating in 2020.
Contributions to Data Science Community
Nikita Sharma actively contributes to the data science community by publishing articles on Medium, where she shares insights on data science and machine learning topics. Additionally, she is involved in the AWS Community Builder program, which supports individuals in the cloud computing sector.
Technical Expertise in Data Analysis
Nikita Sharma specializes in BERT-based context analysis, a technique utilized for natural language processing tasks. She has experience in automating form generation processes, which enhances efficiency in data handling. Her technical skills support her contributions to various projects and initiatives in her field.