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Scott Penn is listed as Data Scientist at Song Tea | B.S. Computer Science at Song Tea & Ceramics, a with 3 employees, based in San Francisco, California, United States. AeroLeads shows a matched LinkedIn profile for Scott Penn.
Scott Penn previously worked as Shopify Developer at Song Tea & Ceramics and Data Scientist at Song Tea & Ceramics. Scott Penn holds Data Science Career Track - Completed from Springboard.
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Data Scientist and Software Developer with a strong foundation in machine learning, data analysis, and back-end software development. Proficient in many of the popular Python data frameworks, including pandas, NumPy, and scikit-learn. Bachelor's degree in Computer Science with 5+ years of programming experience in Python, SQL, Java, Rust, and other languages. Currently developing and maintaining a custom web application for a small business to manage inventory using real-time Shopify API requests.
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San Francisco, California, United States
• Developed a Django application from scratch to extend the functionality of Shopify's inventory management.• Worked with the client to communicate requirements and features, and conducted usability testing with staff members.• Connected to Shopify's REST API using Oauth authentication to securely request real-time sales data.• Customized the storefront website's Liquid templates to accommodate the non-standard display of a new product.
San Francisco, California, United States
• Utilized Python to build custom metrics and dashboards for a company with over 100% customer growth in the past year.• Analyzed trends in traffic and sales to determine the success of marketing campaigns and create projections for future sales goals.• Identified inefficiencies in the production pipeline, allowing employees to better manage the increasing online sales.• Ran a Cost-Benefit Analysis on shipping prices, and found the best threshold for free shipping on online orders.• Corrected a flaw in the data collection process, allowing for proper tracking of users' internal search habits.
San Francisco, California, United States
• Created dashboards visualizing SQL queries to help librarians understand borrowing behavior and library utilization.• Produced a suite of scripts using Rust, Python, and Microsoft’s command line utilities to automate the weekly maintenance of computers and produce daily logs to pinpoint issues, reducing the time spent per computer by over 100%.• Utilized Javascript to clean imperfections in raw data and to improve the visibility of book list information, automating a manual task performed by the librarians.
650+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering.
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Scott Penn works for Song Tea & Ceramics.
Scott Penn is listed as Data Scientist at Song Tea | B.S. Computer Science at Song Tea & Ceramics.
Scott Penn is based in San Francisco, California, United States while working with Song Tea & Ceramics.
Scott Penn has worked for Song Tea & Ceramics and San Francisco State University.
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Scott Penn holds Data Science Career Track - Completed from Springboard.
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