Data Scientist Machine Learning
Resume:
Brennan Hall
R **************@*****.***
https://github.com/brennanhall789
https://www.linkedin.com/in/brennan-hall789
SUMMARY
Results-oriented Statistician and Data Scientist with an MA in Mathematical Statistics and 7+ years of experience solving complex business challenges through statistical analysis. Expert in statistical inference, experimental design, sampling theory, and translating data analytics into actionable business strategies. Proven track record of driving data-informed decision making using R, Python, and advanced statistical methods across public and private sectors. EDUCATION
University of California, Santa Barbara (UCSB) September 2016 { September 2019 Master of Arts, Mathematical Statistics
Loyola Marymount University, Los Angeles, CA August 2011 { December, 2014 Bachelor of Science, Applied Mathematics, Bachelor of Science, Economics TECHNICAL SKILLS
Programming & Tools : R (tidyverse, caret, forecast), Python (scikit-learn, pandas, numpy), SAS
Statistical Methods : Predictive Modeling, Regression Analysis, Survival Analysis, Time Series Analysis, Experimental Design, Monte Carlo Simlations, Sampling Theory
Machine Learning : Classi cation, Clustering, Dimensionality Reduction, Model Validation, Feature Engineering
Data Visualization : ggplot2, PowerBI, Executive Reporting EXPERIENCE
Statistician : Customer Value Partners December 2023 - Current
Consultant to the O ce of the Chief Human Capital O cer (OCHCO) at the Cybersecurity and Infrastructure Security Agency.
Designed and implemented predictive attrition models that identi ed key factors driving vol- untary departures to guide development of new recruitment and hiring practices.
Developed time series regression models incorporating SARIMA forecasting that improved workforce planning accuracy.
Led initiative to catalog and organize all data used across all OCHCO data products, ensuring uni ed and synchronized data, metrics, terminology, and product development.
Collaborated cross-functionally with Finance and HR to create forecasting models that opti- mized hiring budgets and personnel planning and capacity across the agency.
Generated comprehensive workforce capacity reports that directly in uenced executive deci- sions on hiring priorities, ensuring capacity directives were met. Mathematical Statistician : US Census Bureau September 2021 - November 2023
Lead researcher on analysis of experiment to discover e cacy and impact of robocall strategies on survey response rate compared to traditional telephone follow-up calls, utilizing survival analysis techniques.
Led statistical research supporting the Economic Census programs, investigating ways of improving data quality for national and regional economic indicators.
Speci ed, tested, and implemented processes to review imputation, estimation, and disclosure requirements for economic surveys per federal regulations.
Executed maintenance routines for economic survey data during collection periods, verifying data quality and integrity throughout the survey life cycle. Tutor : Self-employed January 2020 - Current
Private tutoring of undergraduate and graduate level students in statistics and probability, time series analysis, stochastic processes, and R programming. R Developer : Hull Tactical Asset Allocation March 2020 - April 2020
Consulting project to test an intraday (minutely) trading strategy of nES futures in comparison to other strategies by constructing a simulator of the strategy.
The results were used to validate the strategies and propositioned further research. Teaching Assistant : Dept. of Probability and Statistics (UCSB) September 2016 - July 2019
Courses taught : Stochastic Processes, Time Series, Regression Analysis, Introduction to Mathematical Finance (Fixed Income) Strategic Programs Systems Analyst : Cisco Systems January 2015 - August 2016
Owner of Cisco's Analytics Incubation Center responsible for strategic planning and testing of new and promising analytic technologies.
Business development technical lead for initiative on predictive meta data and predictive tools for the digital supply chain.
PROJECTS
Exact Sampling of A ne Stochastic Processes
Developed novel sampling methodology for a ne-jump processes under exponential change of measure, enabling unbiased estimates of small probability events. Successfully implemented bias correction techniques for high-dimensional processes, achieving an exact sampling algorithm.
Presented ndings at the SIAM Conference for Financial Mathematics (2019), receiving recog- nition for an innovative approach to time-dependent drift coe cient challenges. Graduate Research Projects (UCSB)
Predictive Housing Market Analysis
Applied multivariate regression analysis to identify key determinants of housing prices across multiple markets.
Financial Market Volatility Prediction
Implemented ARIMA-GARCH models to capture and forecast stochastic volatility in nancial time series.
Medical Injury Factor Analysis
Conducted analytical investigation into the factors contributing to the likelihood of traumatic brain injuries among collegiate athletes using Classi cation and Principal Component Analysis.
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