Data Scientist

RYAN PARKER

DATA SCIENTIST

Mineral Wells, TX 951-***-**** ********.****@*****.*** LinkedIn: linkedin.com/in/ryan-z-parker PROFESSIONAL SUMMARY

I am a Data Scientist with strong expertise in Python, machine learning, statistical modeling, and workflow automation. I have proven success building end-to-end data pipelines, forecasting models, and interactive analytics tools. My experience is focused in cost optimization and operations, with a strong academic foundation in Financial Mathematics, Economics, and Statistics. TECHNICAL SKILLS

Languages & Tools: Python, R, SQL, VBA, Julia, C++, JavaScript (basic), HTML (basic)

Python Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, XGBoost, PyAutoGUI, PyTesseract, Selenium, BeautifulSoup, MushroomRL

Data & Visualization: R Shiny, ggplot2, Lattice, Streamlit, Excel, Snowflake, MySQL

Concepts: Machine Learning, Deep Learning, Time Series, Forecasting, Optimization, Econometrics, Reinforcement Learning

PROFESSIONAL EXPERIENCE

Currency Exchange International (CXI) – Orlando, FL Data Scientist & Manager May 2022 – Present

Promoted twice within 18 months from Process Improvement Analyst to Data Scientist and Manager for crucial automation and analytics initiatives

Developed Python-based OCR script to extract check image data, saving over $1M annually

(PyTesseract, PyAutoGUI)

Led end-to-end development of a company-wide Shipping Infrastructure Database in Snowflake

Built Client Resolution Database (SQL, Snowflake), enhancing customer data organization and resolution efficiency

Leading reinforcement learning initiative (ML) using MushroomRL to optimize inventory and ordering

Contributed heavily to $3M+ savings in 2024 within various projects Aegon Asset Management – Cedar Rapids, IA

Quantitative Solutions Intern May 2019 – Sept 2019

Optimized and documented VBA macros and Python scripts to streamline model validation processes

Pulled financial risk data via Bloomberg Terminal for modeling and reporting RESEARCH

Statistics Research Assistant – Coe College May 2019 – Dec 2019

Researched and compared Classical vs Bayesian Sequential Probability Ratio Tests (SPRTs) (related to MLEs)

Built R Shiny interface to simulate and compare Type I & II errors for different distributions and methodologies related to Classical vs Bayesian SPRTs EDUCATION

University of Central Florida — M.S. Financial Mathematics 2020–2022

GPA: 3.4 Graduate Teaching Assistant with top-rated evaluations every semester

Relevant Courses: Mathematical Modeling, PDEs, Data Visualization, Computational Methods Coe College —Bachelors in Mathematics & Economics 2016–2020

GPA: 3.4 Double Major

Relevant Courses: Real Analysis, Econometrics, Database Management, ODEs, Uncertainty Quantification, Approximation Methods, Statistics

COURSES & INVOLVEMENT

Courses: Uncertainty Quantification I & II, Probability & Statistics I & II, Health Economics, Database Management, Sports Analytics, Mathematical Economics, Computational Methods, Advanced Linear Algebra and Matrix Theory, Data Structures

Involvement: Coe College Football Team (WR), Coe College Radio, Math Club Member, Volunteer Football Coach at local high school

PERSONAL PROJECTS & INTERESTS

Rookie Fantasy Football Python Model, SQL Master Tables and VBA Cleaning Script

Python Web scraping video game betting data

Homesteading, Fitness, and Food

REFERENCES

Collin McAliley

Director of Business Intelligence and Improvement CXI 407-***-****

Contact this candidate