Atanshi Chaturvedi
About Atanshi Chaturvedi
Atanshi Chaturvedi is a Data Analyst with extensive experience in data extraction, cleaning, and visualization. She has worked in various roles, including as a Research Assistant and intern at multiple organizations, and currently serves at The Smart Cube.
Current Role at The Smart Cube
Atanshi Chaturvedi has been working as a Data Analyst at The Smart Cube since 2021. In this role, she is involved in various data analysis projects, including the Johnson & Johnson MMF project. Her responsibilities include data extraction, data cleaning, and the application of machine learning models.
Previous Experience
Prior to her current position, Atanshi held several roles in data analysis and related fields. She worked as President at Origo from 2019 to 2020 and completed internships at Takenmind Technologies, MedTourEasy, and Sawhney & Sawhney Chartered Accountants in 2020. Additionally, she served as a Research Assistant at The University of Edinburgh from 2020 to 2021.
Education and Expertise
Atanshi Chaturvedi earned her Bachelor of Technology in Electronics & Communication Engineering from JSS Academy of Technical Education, Noida, from 2016 to 2020. She also completed her Higher Secondary education in Science (PCM) at Dr. Virendra Swarup Education Centre Avadhpuri in 2015. Her expertise includes data extraction, data cleaning, machine learning models, and proficiency in various visualization tools.
Research Contributions
Atanshi authored a research paper titled 'Assessing micro-mobility services using software tools and data for Geospatial Analysis.' She also worked on a project titled 'Urban micro-mobility assessment on City wide area' during her tenure as a Research Assistant at The University of Edinburgh.
Technical Skills
Atanshi possesses proficiency in a range of technical tools essential for data analysis. These include Power BI, Google Analytics, Anaconda, R Studio, Pycharm, MySQL, PowerApps, and Android Studio. Her skill set supports her work in data visualization and machine learning applications.