Data Analyst | Aspiring Data Scientist — Python / SQL / ML / Tableau / Power BI
I turn messy, real-world data into decisions people can trust. My work spans the full analytics lifecycle — cleaning and validating data, exploratory analysis, feature engineering, and building and evaluating machine learning models in Python — with a habit of writing findings up so a non-technical stakeholder can act on them.
I'm a data analyst working toward data science, currently applying data engineering and integrity thinking to production systems at Lido Nation — building validation checks, tracing root causes of data discrepancies, and translating operational data into recommendations for cross-functional teams. Outside of work I build end-to-end machine learning projects in Python: classification, regression, and statistical analysis on real datasets, documented as reproducible notebooks.
Python (Pandas, NumPy, Scikit-learn, PyTorch), R
SQL, PostgreSQL, data cleaning, EDA, feature engineering
Hypothesis testing, regression, classification, ROC/AUC analysis, model evaluation & tuning
Tableau, Power BI, Excel, data visualization / storytelling, Git