Julia Maddalena

Statistics
Mathematical Modeling
Exploratory Data Analysis
Machine Learning
Data visualization

M.A. Applied Statistics, University of California, Santa Barbara
B.S. Statistics, California Polytechnic State University

Colorado

Energy and Water Resource Management Company
Forecasting Energy Usage
Developed machine learning systems for time series analysis for demand response. Drove implementation and iterative improvement of gradient boosting models and neural networks for electrical utility, system-wide energy usage forecasts.

Online Music Subscription Service
Search Term Analysis
Developed algorithms to handle ambiguity of search term data to rank trending searches, taking into account sources of bias such as seasonality. Also performed several rounds of exploratory data analysis on search trends and implemented the findings into an interactive and visual dashboard.

• Statistics: Bayesian, non-parametric, and stochastic modeling
• Data visualization and dashboarding
• Time series analytics
• Deep Learning: CNNs
• Python data stack: scikit-learn, pandas, numpy, Jupyter, others
• Spark, SQL, R, SAS, MATLAB
• Teaching and mentoring