V.B. Swedha
About V.B. Swedha
V.B. Swedha is a Data Analyst based in Chennai, Tamil Nadu, with a Master's degree in Economics and a Post Graduate Program in Data Science and Engineering. She has experience working with Python, SQL, and Tableau, and specializes in time series techniques for data analysis.
Work at LatentView Analytics
V.B. Swedha has been employed as a Data Analyst at LatentView Analytics since 2020. In this role, she focuses on statistical modeling and data analysis, utilizing tools such as Python, SQL, and Tableau. Her work involves applying data science techniques to support decision-making processes. Based in Chennai, Tamil Nadu, she has contributed to various projects that leverage data insights for business strategies.
Education and Expertise
V.B. Swedha holds a Master of Arts in Economics from Stella Maris College, where she studied from 2017 to 2019. She also completed a Post Graduate Program in Data Science and Engineering at Great Lakes Institute of Management in 2019. Her academic background includes a Bachelor's degree with Honours from M.O.P. Vaishnav College For Women, achieved from 2014 to 2017. Her education has equipped her with a strong foundation in both economics and data science.
Background
V.B. Swedha began her professional journey with an internship at Ultratech Cement Limited, part of the Aditya Birla Group, in 2016. This experience took place in Chennai and lasted for one month. In 2018, she interned at the Centre for WTO Studies in New Delhi for another month. These internships provided her with practical exposure to the industry and helped shape her career in data analysis.
Technical Skills and Specializations
V.B. Swedha specializes in time series techniques as part of her data analysis work. She is proficient in using Python, SQL, and Tableau for statistical modeling and data analysis. Her technical skills enable her to effectively analyze data sets and derive insights that inform rational decision-making. Her strong interest in research further enhances her ability to apply data science methodologies in various contexts.