Gunnar Bozentko
Newtown,CT
Summary
I am a junior majoring in Statistics following a Data Science Masters track with the combined B.S. + M.S. program at Colorado School of Mines. Proficiency in Python and C++. By applying data science and artificial intelligence, I aspire to harness the power of data to drive real-time solutions. I am eager to continue my education and hope to enhance my practical experience through internships and work opportunities.
Overview
1
1
year of professional experience
2
2
years of post-secondary education
Work History
Grader and TA
Colorado School of Mines
Golden, USA
01.2024 - Current
- As a Teaching Assistant and Grader for Introduction to Probability and Linear Algebra, I play a key role in supporting the learning experience
- In this capacity, I provide clear explanations and one-on-one assistance, ensuring students grasp fundamental concepts.
Predictive Client Solutions Intern
Wiland Inc
Niwot, USA
06.2024 - 08.2024
- During my internship at Wiland Inc., a leading marketing company focused on optimizing media targeting, I played a crucial role in developing and validating statistical models.
- I used advanced statistical methods in R, Python, Alteryx, SQL, and other analytical tools.
- Designed and executed a capstone project, where I extracted and read SQL data into Python to produce a comparative report that analyzed client data against market data.
Education
Master of Science - Data Science
Colorado School of Mines
Golden, Colorado05-2027
Bachelor of Science - Statistics
Colorado School of Mines GPA: 3.96
Golden, Colorado 08.2022 - Current
Skills
Languages:
- Python, C, Latex, R Studio, Matlab, Alteryx, SQL
Libraries:
- Pandas DataFrame, NumPy, Scikit-Learn, Matplotlib, Seaborn
Projects
- Mathematical Modeling Project: Stochastic Modeling in Stock Market Analysis
Conducted a mathematical modeling project using stochastic techniques to assess and predict short-term and long-term trends in the stock market. I collected historical data and employed models like Geometric Brownian Motion to simulate potential future price paths.
- Advanced Data Science: Fraud Detection
Developed a fraud detection project from scratch utilizing decision tree algorithms to identify fraudulent transactions. The project involved comprehensive data preprocessing, including cleaning, normalization, and feature selection to enhance model accuracy.
Timeline
Predictive Client Solutions Intern
Wiland Inc
06.2024 - 08.2024
Grader and TA
Colorado School of Mines
01.2024 - Current
Bachelor of Science - Statistics
Colorado School of Mines GPA: 3.96
08.2022 - Current
Master of Science - Data Science
Colorado School of Mines
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