Full Stack Data Scientist with 8+ years experience solving ambiguous business challenges using Applied Statistics and Machine Learning who is capable of owning the end-to-end Data Science cycle, from problem formulation with stakeholders to productionizing models and communicating results to high-level executives.
Core Skills:
R (dplyr, data.table, tidyr, ggplot2, parsnip, xgboost, RODBC) | Python (scikit-learn, pandas, numpy, selenium, pyodbc) | SQL |
H2O.ai | Regression Analysis (Linear, Logistic, Quantile) | Hypothesis Testing |
Machine Learning (GBMs, Random Forests, XGBoost) | SSRS | Tableau |
Data Preprocessing | Data Visualization | Data Storytelling