Data Scientist Machine Learning

David Sche+

** ****** ***, ******** ***, N.J. ***90 dsche(**@*****.***

Phone -609-***-**** [David Sche( @linkedIn

Objective

Analytically driven data scientist with a strong statistics foundation and hands-on experience in data analysis, machine learning, and predictive modeling. Education

New Jersey Institute of Technology (2022-2024)

M.S. in Data Science – Statistics Track

Relevant Coursework:

• Regression Analysis Bio-Statistics Linear Algebra

• Data Structures & Algorithms Probability & Statistics

• Data Mining Advanced Statistics Machine Learning Rutgers University (2007-2011)

B.A. in Political Science, Minor in Anthropology (Emphasis: Evolutionary Biology) Skills & Tools

Programming & Analytics

Python (Pandas, NumPy, SciPy, Scikit-learn, Stats models, TensorFlow)

R (ggplot2, dplyr, tidyverse, caret)

SQL, Excel, JavaScript, Visual Studio Code

Machine Learning & Statistical Methods

Regression Models (Linear, Logistic, LDA, QDA)

Supervised & Unsupervised Learning (SVM, Decision Trees, Clustering)

Time Series Analysis Survival Analysis Bio-Statistics

Hypothesis Testing Dimensionality Reduction Bayesian Statistics Experience

Princeton Medical Group (2004 - 2018)

Operations & Data Management Lead

• Managed three medical facilities, optimizing inventory, medical equipment, and cost e+iciency.

• Led data migration projects from hard copy to electronic records, improving data accessibility and security.

• Designed automated inventory tracking using Excel VBA & Python, reducing errors and improving e(iciency.

Outlier AI (Freelance – 2023)

Mathematical & Statistical Accuracy Analyst

• Reviewed AI-generated responses for mathematical and statistical correctness.

• Applied probability, hypothesis testing, and regression analysis to validate algorithmic outputs. DoorDash (2019 - 2022)

• Analyzed real-world algorithmic execution from a business perspective.

• Studied route optimization algorithms and their impact on delivery e(iciency. Projects & Research

Horse Racing Data Analysis – Developed custom speed figures for Gulfstream Park dirt races, applying data cleaning, time series analysis, and predictive modeling.

Interest Rate & Inflation Analysis – Applied time series models to study correlations between interest rates and inflation, utilizing ARIMA models and correlation tests.

Published Articles – Contributed analytical pieces on horse racing, economics, and statistical trends for an online magazine.

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