PairAnything
Internship goal
Gaining fundamentals of data science, using web scraping tools to automatically extract data from the Web, retrieving unstructured data from a website, and parsing and store them in a structured format.
Company one liner
“For retailers that need to engage shoppers in a personalized way to be competitive, PairAnything provides connected and curated experiences through an intuitive, easy-to-use web app, and actionable insights to grow sales. ”
About the company
🇺🇸 PairAnything
Website →PairAnything is the leading WOC-founded B2B software company driving the future of of food and beverage. Our AI-based connected commerce platform delivers curated experiences to overlooked consumers, while bridging businesses to sell to them across cultures and generations. PairAnything is powered by dreamers, innovators and change makers. Since our start in 2019, we serve as a launchpad for students seeking careers in tech, and thereby create inclusive prosperity through innovation and entrepreneurship. Wine retailers fail to market effectively to underserved consumers. Diverse consumers that differ from the typical model of the wine enthusiast, like younger generations, are often overlooked by the industry. In addition, wine is complex and intimidating to approach for many consumers. Consumer inclusivity and broad access to enjoyment is the struggle we aim to solve. For retailers that need to engage shoppers in a personalized way to be competitive, PairAnything provides connected experiences through an intuitive web app, and actionable insights to grow sales. We create inclusivity for a wider audience of consumers and open the gate for them to enjoy large-scale wine brands, curating true connection for shoppers.
CEO & mentors
Christy Serrato, CEO & Founder
- CEO & Founder of PairAnything
- Program Director at Sacramento Entrepreneurship Academy
- Solution Marketing Vertical Head at HID Global
- Director of Business & Market Development at IdenTrust, Inc.
Deheng Peng, Data Analytics Lead
- UC Berkeley, BA in Data Science (May 2024)
- Data Analytics Lead at PairAnything
- Google Analytics 4 expertise
Program curriculum
Session 1-1
Dive into online data extraction, understanding the architecture and technologies of the World Wide Web.
Session 1-2
Discuss challenges of online data extraction, using/building a web crawler for data gathering and understanding the human input requirement in web data extraction.
Session 2-1
Begin the exploration of accessing web data with Python, understanding web browser protocols for retrieving documents and apps.
Session 2-2
Continue the exploration, applying Python fundamentals and working with data structures in Python.
Session 3-1
Delve into the first half of the ETL process, building expertise through hands-on tasks related to extracting, transforming, and loading data.
Session 3-2
Dive deeper into the second half of the ETL process, continuing the hands-on technical phase of data science.
Session 4-1
Start the data visualization journey, molding and shaping data to optimize its utility for subsequent data science processes.
Session 4-2
Conclude the data visualization exploration, further refining data for later stages of the data science process.