I turn messy data into meaningful insights

— powered by curiosity, Python, and coffee.

Explore projects with real-world data analysis, model development, and storytelling with data

About Me

I’m a data analyst with a nonlinear path and a practical approach.My background spans marketing, AI model training, and hands-on analytics using Python. I’ve contributed to LLM development through human-in-the-loop workflows, from prompt evaluation and fine-tuning to data labeling and QA.I hold certifications from Google and IBM in data analytics and data science, with a strong focus on Python, pandas, wrangling, visualization, and machine learning. My portfolio reflects this training through:

  • Exploratory analysis and ML Model Development

  • Dashboards and data visualizations

  • Case study–style problem solving

I care about clarity, context, and code that communicates.
Whether cleaning a messy dataset or presenting insights, I bring a structured, story-driven approach to problem-solving.

Featured Projects

I use code to explore, explain, and solve. These projects reflect the questions I like to ask and how I work through data to find useful answers.Each project in my portfolio begins with a real-world question and ends with structured insights, backed by analysis, model training, and/or visualization.

Data Visualization Pie Chart showing average monthly fire area in Australia for a plotly dash dashboard built using Python

Australian Wildfire Analysis with Data Visualization & Dashboard

Analyzed satellite fire data to uncover regional patterns, time series trends, and fire behavior during peak seasons. Built a Python dashboard to explore fire counts and brightness levels across states and time periods.

Housing Price Prediction (REIT Case Study)

Developed regression models to predict housing prices for a real estate investment trust. Used feature engineering and model evaluation to explore how square footage, bedrooms, and other variables impact pricing.

Data Visualization: Histogram of the distribution of house prices for a data science project
Data visualization with a bar chart for a capstone data science project

Mission Control: Predicting Falcon 9 Landings with Data Science

Used SpaceX API data and machine learning to predict whether Falcon 9 rockets land successfully. Includes data extraction, wrangling, feature engineering, classification modeling, and bonus visualizations.

Tools and techniques I rely on to turn data into decisions.

Tech Stack

  • Python

  • pandas

  • NumPy

  • scikit-learn

  • SQL

  • Tableau

  • Dash

  • matplotlib

  • seaborn

  • Jupyter

Data Skills

  • Data Cleaning

  • Data Wrangling

  • Exploratory Data Analysis

  • Feature Engineering

  • Machine Learning

  • ML Model Building

  • ML Model Evaluation

  • Cross-Validation

  • Dashboards

  • Data Visualization

Strengths

  • Strategic Thinking

  • Problem Solving

  • Storytelling

  • Attention-to-detail

  • Collaboration

  • Communication

  • Gen AI Model Training

  • AI Prompt Engineering

  • Adaptability

  • Creativity

Let's Connect

I’m open to opportunities, collaborations, and conversations.
Whether you’ve got a role in mind or just want to chat data, feel free to reach out.

“Without data, you’re just another person with an opinion.”
— W. Edwards Deming

Built to surface insights — and keep asking better questions | © 2025