Kristen Hum

Kristen Hum

Followers of Kristen Hum717 followers
location of Kristen HumSeattle, Washington, United States

Connect with Kristen Hum to Send Message

Connect

Connect with Kristen Hum to Send Message

Connect
  • Timeline

  • About me

    Technical Product Manager @ Starbucks | Business Intelligence analytics and Data Science Enthusiast

  • Education

    • Baylor University

      2019 - 2021
      Associate's degree Pre-med Studies
    • The University of Texas at Dallas

      2021 - 2024
      Bachelor of Science - BS Business analytics and Data Science 3.9, Cum Laude

      Activities and Societies: Phi Theta Kappa, Women in Technology in Business Music Genre Classification using Machine Learning: Analyzed Spotify's API-derived data, employing under/oversampling, feature engineering, and evaluating machine learning models encompassing gradient boosting, decision trees, random forest, classification, and clustering techniques. further translated findings into a research paper and visually communicated insights using Seaborn, Matplotlib, and Tableau.Youtube Comment Sentiment Analysis: Conducted sentiment analysis on YouTube… Show more Music Genre Classification using Machine Learning: Analyzed Spotify's API-derived data, employing under/oversampling, feature engineering, and evaluating machine learning models encompassing gradient boosting, decision trees, random forest, classification, and clustering techniques. further translated findings into a research paper and visually communicated insights using Seaborn, Matplotlib, and Tableau.Youtube Comment Sentiment Analysis: Conducted sentiment analysis on YouTube comments through YouTube API, employing tokenization, text preprocessing, and machine learning techniques for data processing. Utilized NLTK, Scikit-learn, and Python to build a sentiment classifier, gaining experience in textual preprocessing, tokenization, big data handling, and NLP. Show less

  • Experience

    • Starbucks

      Nov 2021 - now

      Customer Data and Platform Migration: Supported a multi-year program to re-architect customer and account systems, enhancing data quality, scalability, and fault tolerance. Managed stakeholder communication, migration health, and 70+ testing sessions. Assisted the cloud uplift and migration of 17 clients across 55 use cases, driving real-time data processing and system performance improvements. Delivered a future-proof architecture with measurable business impact.Data Domain Design & Development for Customer Preference:Introduced and led the design and development of a new, scalable domain for managing user preferences, ensuring successful upstream integration and downstream syndication with existing data platforms and clients. Optimized performance and scalability with Kafka, Databricks, and Cassandra, driving business impact through enhanced personalization management. Directed cross-functional teams through complex data migration, aligning technical solutions with business goals and establishing a foundation for future domain growth. Show less Data Visualization Dashboard: designing and building a real-time data visualization/dashboard through tableau and powerBI, using azure, databricks, compliance, noSQL, SQL, python, and Pyspark to construct data structures to enable live aggregated data to be integrated in visualization applications. This dashboard addresses customer data needs, enabling clients to impactfully utilize and understand customer profiles for data-driven decisions. Customer FAQ chatbot: developed a chatbot application by feeding scraped data into a vector database and layering OpenAI's NLP capabilities (Streamlit, OpenAI APIs), resulting in efficient and accurate customer information access, reducing the customer service center's load and data storage by over 20%.Computer vision application: using React and Azure Machine Learning developed an application which was trained on 1k images to identify inventory and category to reduce 20%-30% of food waste, benefit sustainability efforts, and optimize cost management and minimize unnecessary expense by 10%+ Show less

      • Associate Technical Product Manager

        Jun 2024 - now
      • Data Analyst Intern

        Apr 2023 - Aug 2024
      • Shift Manager

        Nov 2021 - Aug 2024
  • Licenses & Certifications