Angela Lombard

Angela Lombard
Data Scientist and Statistical Analyst

Hello! I'm Angela, a data scientist and statistical analyst passionate about uncovering insights and applying machine learning to unique and interesting cases.

About Me?

I’m currently pursuing a Master of Data Science at UC Irvine, where I also earned my Bachelor’s in Mathematics with a minor in Statistics. With seven years of experience teaching robotics and programming, I’m passionate about statistics and uncovering data insights through linear regression models. My data science projects reflect my continuous learning and innovative spirit. In my free time, I enjoy family moments and gardening, which keep me grounded and inspired.

  • Linear Regression

    90 %
  • Exploratory Data Analysis & Data Visualization

    80 %
  • Machine Learning (Regression and Classification)

    85 %
  • R and Python Programming

    80 %
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    Statistics

    Skilled in statistical methods to analyze data and make informed decisions.

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    Mathematics

    Strong mathematical background for developing and optimizing algorithms.

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    Programming

    Proficient in programming languages like Python and R for data manipulation and analysis.

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    Visualization

    Adept at using tools to create clear and impactful data visualizations.

Latest Projects

Check out some of my latest projects related to my interests and hobbies.

  • Machine Learning

    Mushroom Classification

    Developed a model to classify mushrooms as edible or poisonous using the UCI Mushroom Dataset. Implemented data preprocessing, exploratory data analysis, and classification algorithms including Random Forest, Naive Bayes, and Logistic Regression. Achieved 100% accuracy with the Random Forest model.

    View Google Colab View PowerPoint
    Web Design
  • Data Analysis

    Grateful Dead Music Analysis

    Analyzed historical Grateful Dead concert data to identify factors influencing song popularity and predicted future song play likelihood using data from GratefulStats API and scraped concert ratings. Applied exploratory data analysis, feature engineering, and a RandomForestRegressor model. Gained insights into key popularity factors like setlist position and concert ratings.

    See Project
    Grateful Dead
  • Inductive Reasoning

    Puzzle of the Week

    Test your inductive reasoning skills with a new puzzle every week. Analyze patterns, shapes, and logic to find the solution. Click "Reveal Answer" to see the solution for this week's puzzle.

    Weekly Puzzle

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Get in Touch

I’d love to hear from you! Whether you're curious about my projects, interested in collaboration, or just want to connect, feel free to reach out. Let’s explore how we can create innovative solutions together.


Email: lombara1@uci.edu
LinkedIn: linkedin.com/in/angelalombard