Tyler R. Email and Phone Number

- Utilized SQL to efficiently extract and aggregate over 25 million rows of badge and employee system data from multiple temporary tables, ensuring comprehensive insights for analysis.- Leveraged Tableau to build a dashboard that visualized data derived from SQL queries, analyzing the impact of corporate real estate projects on attendance and facilitating the cleaning of project management data.- Developed a Python-based linear regression model to predict usage and consumption during social hours, emphasizing the importance of data hygiene in ensuring accurate machine learning outcomes for corporate real estate analysis.

Currently a member of a professional business fraternity that provides industry knowledge, leadership roles, volunteer projects, and networking capabilities.

- Collaborated with other individuals to help organize events in order to reduce biases and acknowledge privilege within our organization. - Utilized Microsoft forms for anonymous data collection and used powerBI to help understand privilege and bias within our organization via visualization . - Created a slide deck to help illustrate my ideas to the client and ultimately answer any questions the client had.

- Utilized Snowflake to extract insights from billions of data entries by generating fresh dataset and creating perspectives for our business across click-based outbound marketing avenues such as Google, Yahoo, and Microsoft.- Collaborated with other interns to generate a pitch idea for new capital one products for senior management - Create a comprehensive inferential analysis on Capital One’s click-based outbound marketing channel though SWOT analysis with a particular focus within the audience portion of their channel.

- worked as a probe project for research within the LATAM and MENA region of PitchBooks operations to help classify private equity and venture capital firms into their respective associations.- Utilized Power Automate and Python to help build scripts and tools to help automate tasks around data movement and changing HTML within PitchBooks quarterly surveys.- worked with other interns on a high-priority project to validate revenue figure data from 2016-2021 on the fastest-growing companies within APAC, the Americas, and Europe.

-Worked in a fast-paced team environment to provide payment instruction and payment reminders to associates of the University of Washington.-Collaborated with clients from other universities, fortune 500 companies and international businesses.-developed proficiency in excel to provide insight into quarterly goals and worked within Microsoft Access databases.-helped overhaul UW’s old database to their new database known as FECDM(Funding Entity Core Data Management).

-Taught the main four strokes freestyle, backstroke, breaststroke, and butterfly to students ranging from 3 to 35.-Worked as a part-time lifeguard at said pool during employment.