David Teuscher Email & Phone Number

Salt Lake City, Utah, United States

Provo, Utah, United States

Provo, Utah, United States

- Compare the predictive ability of statistical methods against neural nets for non-linear relationships- Implemented an Bayesian, spatial, artificial neural net to predict irrigation zones based on simple to measure factors, such as field topography, elevation, and past crop yields- Estimated model parameters, including neural net weights and biases via Markov chain Monte Carlo sampling

- Assistant for Experiential Learning with Kaggle, Applied Bayesian Statistics, and Analysis of Correlated Data classes- Explain data science concepts, such as data cleaning, feature engineering, model tuning, and model validation to students- Led teams of 3-4 students in machine learning competitions through the Kaggle platform- Explained how to approach different types of problems in data science and machine learning (classification, regression, multinomial classification, time series, etc.)- Helped students code and understand the Bayesian approach to common statistical problems, such as ANOVA, linear regression and logistic regression- Explained and showed code to model different types of correlated data (heteroskedastic, ARIMA/SARIMA, longitudinal, and spatial)

Provo, Utah, United States

- Investigated offensive efficiency of MLB players in order to be able to evaluate the worth of a player- Gathered and cleaned MLB player data from the Lahman database and from Fangraphs- Fit polynomial performance curves for players using R and made predictions for player performance over time- Implemented various Bayesian nonparametric models to determine which model minimized prediction error

Provo, Utah, United States

- Cleaned multiple datasets by formatting dates, names, and places to match across datasets for joining- Joined and appended of multiple datasets containing information about Republican members of the House of Representatives and their voting patterns in caucus meetings- Analyzed the relationship between attendance rates at Republican caucus meetings and voting with the party using the merged dataset

Provo, Utah, United States

- Assistant for R Programming, SAS Programming, Intro to Regression and Statistical Computing classes- Explained common and advanced coding practices and techniques to students- Debugged students' code in R, SAS, Python, and SQL- Explained the meaning, interpretation, and assumptions of linear regression models- Wrote documents explaining how to implement code in R and Python for analyses using simple and multiple linear regression, logistic regression and Poisson regression

Lehi, Utah, United States

- Developed and fit a hierarchical model to predict head of household and relationship to the head of household for early (1850-1870) US Census records- Extracted and created features from early census records to improve model performance- Optimized feature extraction and model predictions to run at scale for an entire census (20-40 million records)

Master Of Science - Ms, Statistics

Bachelor Of Science - Bs, Statistics

Bachelor Of Arts - Ba, Russian Language And Literature