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Dmitriy Teplyuk

@dmitriyteplyuk

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Aspiring data analyst with a strong foundation in applied mathematics.

United States

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What I'm looking for

I am looking for opportunities that allow me to apply my analytical skills in a collaborative environment, focusing on data-driven decision-making and innovative projects.

I am an aspiring data analyst currently pursuing a Bachelor of Arts in Applied Mathematics at the University of California, Berkeley. My academic journey has equipped me with a solid understanding of probability theory and advanced mathematical concepts, which I have applied in various research projects and internships. I am passionate about leveraging data to drive insights and improve decision-making processes.

During my internship at Lodestar Private Asset Management, I successfully reconstructed and predicted the performance of the Return Strength Index (RSI) indicator, achieving a 16% reduction in margin of error through logistic regression analysis. Additionally, as a Lead Researcher for the City of Clayton, I coordinated a budget planning survey that directly influenced the allocation of city funds, showcasing my ability to manage projects and communicate effectively with stakeholders.

Experience

Work history, roles, and key accomplishments

Research Project

Independent

Conducted sentiment analysis on NVDA using Python’s google-cloud-language to predict the next-day effect of news on stock prices.

Python Google Cloud Data Analysis

Lead Researcher and Mentor

City of Clayton (CA) Council

Nov 2023 - Feb 2024 (3 months)

Coordinated with the City Manager and council members to plan a budget survey for citizens. Programmed the survey in Qualtrics, managed data collection, and presented results to citizens and council members.

Qualtrics Data Collection Data Processing Survey Design Presentation Skills Budgeting

Research Project

Independent

Trained, validated, and tested a random forest model using scikit-learn and Python based on historical data of the SP500 index.

Python scikit learn Random Forest Machine Learning Data Validation Data Testing

Intern Researcher

Lodestar Private Asset Management

Nov 2023 - May 2024 (6 months)

Reconstructed and predicted the performance of the Return Strength Index (RSI) indicator on the weekly SPY. Applied logistic regression to values of the RSI in Excel, reducing margin of error by 16%.

Python NumPy Pandas scikit learn Logistic Regression Data Analysis Excel

Education

Degrees, certifications, and relevant coursework

University of California, Berkeley

Bachelor of Arts, Applied Mathematics

2025 -

Pursuing a Bachelor of Arts in Applied Math with a focus on Probability Theory. Coursework includes Introduction to Analysis, Abstract Linear Algebra, and Concepts of Probability, along with in-progress studies in Structure and Interpretation of Computer Programs, Discrete Mathematics, Linear Algebra and Differential Equations, and Introduction to Finance.