About Me

Jack of all trades, master of "some"


Data platform manager and data analyst with more than 2 years of well-rounded experience with Bachelor's degree double majoring in the fields of Finance and Information Systems and Master's degree in Quantitative Analytics, extensive knowledge of data analytics techniques and love for Golf. Looking for an opportunity to work and upgrade, as well as being involved in an organization that has innovative data teams to deliver high-quality reports and products.



Profile

Location: Tampa, FL
Phone: 608-421-8477
Email: swqruss@gmail.com

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Skills

Programming Skills: Python, R, Object-Oriented Programming

Project Management: Agile, Scrum, SDLC, JIRA, Confluence

Database Management: SQL, Visio, Hive

Visualization Tools: Tableau

Business: Risk Weighted Assets, Regulatory and Liquidity Reporting

Projects

Here are what I've done in the past. Click on headers to know more details of the projects.



Stockview Website by Flask

The Flask-based stock view project offers a rebellious interface for exploring a stock's performance in the past 120 days. It generates insightful Matplotlib plots, with users inputting stock names via a simple form. The separate process generates the plots, ensuring a smooth experience. The project page displays the stock name and plot, complemented by edgy custom CSS. It's an engaging and user-friendly tool for visually analyzing stock performance.



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Analyzing Bike Manufacturer Operations

Built Tableau dashboards including bar charts, line charts, tree maps, doughnuts, and geographic visualizations, delivering four-year business overview of three product lines, product categories, and customer types across five countries. Analyzed trends in price and cost growth; calculated profit margins by item with discounts, generating potential marketing strategies for discount types and risk management recommendations for supply chain operations.

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Bear Market Observatory

Built data pipelines in R to extract historical stocks performance with API from Yahoo Finance, clean and format the dataset, identify lengths and amplitudes of bull and bear markets and corrections regimes, and create a dynamic market book. Analyzed S&P 500 Index performance and market recovery time using dashboards and word clouds; established relationships between market index and 200-day-MA, generating insights into equity market. Placeholder image

Resume

More about my past experiences


Download My Resume

Contact Me


I started working with Citi in June 2022, assisting its Genesis platform in Global Data Services. Please get in touch with me on LinkedIn if you are interested in what I've been working on.