Prianka B.
About Prianka B.
Prianka B. is a Senior Data Analyst at point.me, where she has worked since 2023. She has a strong background in data analysis, having held various roles in organizations such as Big Village and The Spark Group, and holds a Master's degree in Data Science from Saint Peter's University.
Work at point.me
Currently, Prianka B. serves as a Senior Data Analyst at point.me, a position she has held since 2023. In this role, she focuses on data analysis and utilizes her expertise to support the company's data-driven decision-making processes.
Previous Experience in Data Analysis
Prianka B. has a diverse background in data analysis, having worked at Big Village in various roles including Web and Digital Media Analyst, Analytics Manager, and Senior Analytics Associate from 2019 to 2023. She also gained experience as a Digital Analyst at The Spark Group from 2017 to 2019 and as a Digital Analyst Intern in 2017.
Education and Expertise
Prianka B. holds a Master's degree in Data Science from Saint Peter's University, which she completed from 2020 to 2022. She also completed a Bachelor's degree in Mathematics at Bryn Mawr College from 2013 to 2017. Additionally, she participated in the Data Science for All program by Correlation One, completing both the Empowerment Program and the Data Engineering Program.
Technical Skills and Tools
Prianka B. possesses strong technical skills in data analysis and machine learning. She is proficient in Python packages such as Scikit-learn, Geopandas, and NLTK. She leverages cloud computing services like AWS Redshift, S3, and EC2 for data processing and storage. Furthermore, she utilizes marketing tools like Google Analytics and Facebook Ads Manager for insights into digital marketing campaigns.
Knowledge Sharing and Community Engagement
Prianka B. actively shares her knowledge and insights through various platforms, including GitHub, Medium, and Kaggle. She employs advanced data visualization tools like Looker Studio and Tableau to present complex data analyses in an accessible manner, contributing to the data science community.