Megha Gupta
About Megha Gupta
Megha Gupta is a Data Engineer at Notion, where she has worked since 2022. She has extensive experience in data engineering and analytics, having held positions at notable companies such as EY, Goldman Sachs, and Endicia.
Work at Notion
Megha Gupta has been employed at Notion as a Data Engineer since 2022. In this role, she utilizes various tools including dbt, Snowflake, Airflow, SFDC, Datahub, Spark, Census, and Anomalo. Her responsibilities involve data engineering tasks that support the company's data infrastructure and analytics capabilities.
Previous Experience in Data Engineering
Prior to her current position, Megha Gupta worked at Endicia as a Senior Business Intelligence/Data Engineer focusing on Sales Analytics from 2018 to 2022. She also held the role of Senior Data Engineer at Markit from 2012 to 2014. Her earlier experience includes working as an Associate Developer at Goldman Sachs from 2010 to 2012 and as a Senior Consultant in Data & Analytics at EY from 2014 to 2016.
Educational Background
Megha Gupta earned her Bachelor of Engineering (BE) in Information Technology from Delhi College of Engineering, completing her studies from 2004 to 2008. She furthered her education by obtaining a Master's degree in Information Systems Management from Carnegie Mellon University in 2009. Additionally, she completed the Springboard Data Engineering Career Track certification in 2022.
Technical Skills and Expertise
Megha Gupta possesses deep knowledge in regression modeling, including both linear and logistic regression. She is experienced in using Python packages such as Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib, NLTK, Statsmodels, and Gensim for data analysis and machine learning. Her expertise also includes hypothesis testing and statistical analysis, which are essential for data-driven decision-making.
Data Visualization and Public Profile
Megha Gupta has a Tableau Public Profile that showcases her data visualization skills. This platform allows her to demonstrate her ability to create insightful visual representations of data, which is a critical aspect of data engineering and analytics.