An Insider View of Google
Presenter: Daniel Lesh
Thursday October 20th, 2022
3:30 - 4:30PM
Topics include: Data Visualization, Predictive Analytics, Programming, Graduate Student Experience / Advice
Topics include: Data Visualization, Predictive Analytics, Programming, Graduate Student Experience / Advice
Radhika graduated from UConn in December of 2018 as a honors student with a degree in Management Information Systems (MIS). She currently works as the Sustainability Program Lead at the Federal Reserve Bank of Boston. Measurement and verification of data is major part of her responsibilities, as she creates a strategic plan to reduce carbon emissions and waste produced by the one million square foot building that sits on the Boston skyline. Her day to day projects also involve exploring emerging building technologies and strategizing on how to best calculate energy metrics to reduce the impact of operations on the environment.
Chris Saxon is an Oracle Developer Advocate for SQL. His job is to help you get the best out of the Oracle Database and have fun with SQL! To help you with this he blogs at All Things SQL. He also creates videos combining SQL and magic on YouTube at The Magic of SQL. If you have questions about working with Oracle Database technology, please reach out to him. You can do this via Twitter (@ChrisRSaxon) or on Ask TOM (https://asktom.oracle.com).
Following graduation from UConn in 2016, I joined the analytics development program at Liberty Mutual Insurance in Boston. Through rotations on analytics and data science teams, I developed an appreciation for the role data plays in all functions of a business from talent to pricing. Since 2018 I have worked in the product analytics space, leveraging tools such as SAS EG, Python, Tableau and PowerBI to clean, analyze and visualize data in support of portfolio profitability and business development strategy.
This coffee chat included an overview of a number of software platforms and how they are used in visualization. We touched upon the best practices of visual analytics and the strengths and weaknesses of telling a story with data.