PRESENTATIONS
PRESENTATIONS
Embedded Files
See the deliverables that I have prepared for past stakeholders to solve their business problems and meet their goals.
Build Fellowship: Market Research
Build Fellowship: Market Research
Analyzed a dataset on direct marketing campaigns for cruises from Oct. 2024 to Sept. 2025 to analyze trends and how to improve them through different features like audiences, destinations, and creative descriptions.
Detained Child Migrants
Detained Child Migrants
Created for the Data School's DSNY9 application, a dashboard based on the New York Time's dataset of detained child migrants and how they entered and left custody, as well as the concern about children being kept from their families.
Build Fellowship: Business Intelligence
Build Fellowship: Business Intelligence
I have participated in three Business Intelligence projects, two of which included presentations as final deliverables, which were great opportunities to work with diverse cultures and industries.
Trucks and the Supply Chain
Trucks and the Supply Chain
Created a BI report for 84 Lumber's senior-level stakeholders based on truck delivery data from 2022 to 2025 to help them advance within the supply chain.
Amazon Niche Keywords
Amazon Niche Keywords
Utilized Google Ads tools to develop a Market Entry Plan for the niche keyword "Kids Pools for Backyard" by identifying ecommerce trends and pain points.
COOP Careers Fellowship
COOP Careers Fellowship
In June of 2024, I was selected for a highly selective fellowship for recent first-generation college grads. I learned technical skills like SQL, Excel, and Tableau. I also focused on professional development for job hunting and how to work with different clients.
Capstone Project
Capstone Project
An analysis on a global telecommunications company's large-scale media campaign dataset. Such campaigns are proven to be effective on location, audience, creative assets, and ad publishers.
Data Visualization Project
Data Visualization Project
An analysis on a dataset of NYCHA evictions from 2017 to 2022 to determine why Marshals evict certain tenants, uncovering a potential bias against low-income and non-white households.
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