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General Information

Full Name Tyler Binning
Email tybinning43@gmail.com

Education

  • 2025
    Bachelors of Science
    Brigham Young University - Idaho, Rexburg, Idaho
    • Vice President, Data Science Society
  • 2022
    Dual Enrollment Coursework
    Southwestern Community College, Osceola, Iowa
    • Completed college-level coursework in mathematics and general education while attending high school through a dual enrollment program.

Experience

  • 2025
    AI & Operations Optimization Internship
    TruPorch Homes
    • Built automated n8n workflows to scrape competitor pricing and review data, applying sentiment analysis to customer feedback for actionable market insights.
    • Integrated competitor intelligence into a Metabase dashboard, enabling real-time comparison of pricing strategies and customer sentiment trends.
    • Applied natural language processing (NLP) to classify and quantify review sentiment, informing data-driven decisions in short-term rental pricing.
    • Streamlined competitive analysis by connecting multiple data sources into a centralized business intelligence system, reducing manual research time
  • 2025
    Data Science Internship
    Planck AI
    • Building NLP models with spaCy, including clause tagging and training SpanCat for clause-type recognition
    • Applying TF-IDF with Logistic Regression to classify legal contract clauses
    • Created a Streamlit interface for uploading and summarizing documents
    • Preparing LoRA fine-tuning projects for contract summarization and question answering
  • 2025
    AI Engineering Consultant
    Brigham Young University - Idaho
    • Collaborated within a team to design and develop an AI-powered Teaching Assistant, integrating generative AI to provide course guidance and answer student questions.
    • Integrated course materials into the AI Teaching Assistant using a Retrieval-Augmented Generation (RAG) model, ensuring accurate, context-aware responses to enhance student learning.
    • Worked with faculty to refine AI-generated insights, ensuring alignment with academic standards and improving instructional effectiveness.

Certificates

  • 2025
    Google Advanced Data Analytics Professional Certificate
    Google
    • Statistical analysis & hypothesis testing: applied inferential statistics, ANOVA, and experimental design for data-driven decision making.
    • Regression & predictive modeling: built and evaluated linear/logistic regression, forecasting models, and supervised ML algorithms.
    • Machine learning fundamentals: implemented clustering, classification, and ensemble methods in Python.
    • Programming in Python: applied pandas, NumPy, scikit-learn, and Jupyter Notebooks for data wrangling, analysis, and modeling.
    • Data visualization & storytelling: created effective dashboards and visualizations with Tableau and Python libraries (matplotlib, seaborn).
    • Data wrangling & cleaning: transformed messy datasets into structured, analysis-ready formats.