Kalpana Singh
About Kalpana Singh
Kalpana Singh is a Senior Data Analyst at The Smart Cube, where she has worked since 2021. She holds a Bachelor's degree in Computer Science and a Master's degree in Operational Research, and has experience in data extraction, web scraping, and model development.
Work at The Smart Cube
Kalpana Singh has been employed at The Smart Cube since 2021. Initially serving as a Data Analyst for two years, she transitioned to the role of Senior Data Analyst in 2023. In her current position, she focuses on data analysis and optimization, contributing to various projects that enhance the company's analytical capabilities.
Education and Expertise
Kalpana Singh holds a Bachelor's degree in Computer Science from MVR Degree and PG College, affiliated with Andhra University, which she completed from 2016 to 2019. She furthered her education by obtaining a Master's degree in Operational Research from Delhi University, studying from 2019 to 2021. Her educational background equips her with a strong foundation in data analysis and computational techniques.
Background
Kalpana Singh completed her high school education at Kendriya Vidyalaya No. 1 NSB in Visakhapatnam, where she studied subjects including Physics, Chemistry, Mathematics, and Computer Science from 2015 to 2016. Prior to her current role, she worked as a tutor at Home Tuitions - India from 2016 to 2021, where she gained experience in teaching and mentoring students.
Achievements in Data Analysis
Kalpana Singh has contributed to several significant projects in her field. She performed prompt tuning to optimize ChatGPT's performance, enhancing its responsiveness. Additionally, she developed a Python-based information extraction tool utilizing large language models, complemented by a Streamlit interface. Her work also includes web scraping for competitor data and fuel station locations, which supports market analysis and strategic planning.
Technical Skills and Tools
Kalpana Singh possesses expertise in various technical tools and methodologies. She has utilized Google Earth data for commodity prediction through classification modeling. Her skills also include web scraping using Selenium, which she employed to gather competitor data for retail clients. These technical proficiencies enable her to conduct comprehensive analyses and optimize data-driven decision-making.