About Me
Data Scientist turning raw data into strategic business decisions through machine learning, predictive modeling, and clear data storytelling.
I'm a data scientist specializing in machine learning and predictive modeling, with a strong foundation in SQL, Python, Power BI, and Excel. I help organizations move from raw, disconnected data to clear, actionable insight, building clean pipelines, uncovering patterns through exploratory analysis, and translating statistical findings into decisions leadership can act on with confidence.
Programming & Data Tools
Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), SQL, Power BI, Advanced Excel (Pivot Tables, VLOOKUP, Power Pivot), Git/GitHub
Core Competencies
Data Cleaning & Wrangling, Exploratory Data Analysis, Statistical Analysis, Machine Learning (Supervised & Unsupervised), Feature Engineering, Model Evaluation, Predictive Modeling, Data Visualization, Dashboard Development, Data Storytelling
Featured Projects
Four end-to-end projects covering the full data toolkit, each taking a raw, messy dataset through audit, cleaning, modeling, and business analysis.