Ananya Pandey
About Ananya Pandey
Ananya Pandey is a Graduate Teaching Assistant at the University of Massachusetts Boston, specializing in data analysis and machine learning. She has a Master's degree in Information Technology and has previously worked in various data-focused roles, including as a Data Analyst at Clovia and an Associate Data Analyst at Paytm.
Work at UMass Boston
Ananya Pandey has been serving as a Graduate Teaching Assistant at the University of Massachusetts Boston since 2019. In this role, she supports faculty in delivering coursework and assists students in understanding complex concepts related to data science and machine learning. Additionally, she previously completed a six-month internship at the same institution in 2020, where she gained practical experience in data science applications.
Education and Expertise
Ananya Pandey holds a Master's degree in Information Technology from the University of Massachusetts Boston, which she completed between 2019 and 2021. Prior to this, she earned an Engineer’s degree in Electrical and Electronics Engineering from the Rajasthan Institute of Engineering and Technology from 2010 to 2014. Her educational background has equipped her with advanced skills in machine learning frameworks, data analysis techniques, and programming languages.
Professional Experience in Data Analysis
Ananya has a diverse professional background in data analysis. She worked as a Data Analyst/Manager at Clovia from 2017 to 2018 in Noida, Uttar Pradesh, where she managed data-related projects. Prior to that, she served as an Associate Data Analyst at Paytm from 2014 to 2016. Her experience includes utilizing tools for data analysis and visualization, such as Databricks, Jupyter, and Anaconda.
Technical Skills and Tools
Ananya Pandey possesses advanced skills in machine learning frameworks, including TensorFlow and Scikit-learn. She is experienced in using programming languages such as Python, R, and SQL for data analysis. Her expertise extends to data wrangling and visualizing models with tools like Tableau and Power BI. Additionally, she is skilled in various data analysis techniques, including text mining, clustering, and A/B testing.