Nate Wass De Czege
Seattle
Summary
Accomplished Independent Stock Analyst with expertise in Python programming and financial analysis. Developed proprietary valuation methodologies, enhancing stock valuation accuracy. As a programmer, improved software reliability through automated testing. Volunteered with Daniel Jones, enhancing community engagement. Proficient in data interpretation and quantitative reasoning, driving informed investment strategies and market insights.
Overview
8
8
years of professional experience
Work History
Independent Stock Analyst
Self Employed
12.2018 - Current
- Analyzed market trends to provide actionable insights for investment strategies
- Evaluated financial reports to assess company performance and risk factors
- Assisted in developing comprehensive stock valuation models for informed decision-making
- Prepared detailed reports outlining stock recommendations and market analysis findings
- Developed comprehensive financial models to forecast revenue growth and identify potential risks in the market.
- Contributed to the development of proprietary valuation methodologies, enhancing accuracy in determining fair value estimates for stocks under coverage.
programmer
Self Employed
06.2017 - Current
- Developed and trained neural networks for facial recognition and image detection, enhancing software accuracy and performance across diverse datasets.
- Built responsive web application using HTML, CSS, and JavaScript, optimizing user experience across devices and browsers.
- Modeled comprehensive datasets withpandas, matplotlib, and yfinance to identify trading patterns and trends, contributing to the development of predictive models for stock market analysis.
- Implemented automated testing procedures to improve software reliability.
- Troubleshot and debugged existing applications, enhancing performance and user experience.
Volunteer
Daniel Jones
07.2024 - 08.2024
- Assisted in organizing community events, enhancing participant engagement and satisfaction.
- Collaborated with team members to streamline volunteer onboarding processes, improving efficiency.
- Supported fundraising initiatives through social media outreach and campaign promotion.
- Coordinated logistics for events, including scheduling, venue selection, and resource allocation.
- Maintained clean, neat, and operational facilities to serve program needs.
Education
Bachelor of Science - Data Science
University of Colorado At Boulder
Boulder, CO05-2029
High School Diploma -
Vashon Highschool
Seattle, WA03-2025
Skills
- Technical Skills
- Python programming (data analysis, automation, visualization)
- Web development: HTML, CSS, JavaScript
- Basic experience with R and other programming languages
- Git/GitHub (version control and project tracking)
- Financial & Analytical Skills
- Balance sheet analysis
- Cash flow analysis
- Income statement analysis
- Financial statement interpretation
Timeline
Volunteer
Daniel Jones
07.2024 - 08.2024
Independent Stock Analyst
Self Employed
12.2018 - Current
programmer
Self Employed
06.2017 - Current
Bachelor of Science - Data Science
University of Colorado At Boulder
High School Diploma -
Vashon Highschool
Academic Enrichment
- Harvard CS50P (via edX) Completed Python-focused computer science coursework covering algorithms, data structures, object-oriented programming, and software engineering fundamentals.
- Harvard CS50x (via edX) Completed introductory computer science curriculum including C, HTML, JavaScript, Python, CSS, cybersecurity, machine learning, web development, and software engineering principles.
- Online Machine Learning Tutorials (YouTube) Explored Machine learning, model evaluation techniques, and real-world applications using Python and R.
- Book: The Intelligent Investor by Benjamin Graham Studied principles of value investing, market psychology, and long-term financial strategy.
- Book: The Little Book That Beats the Market by Joel Greenblatt Learned to apply valuation metrics such as P/E ratio, ROIC, ROA, and EPS to assess intrinsic company value and investment potential.
YouTube Research: Financial Education & Investment Strategy Regularly engage with educational content from respected creators including:
- The Plain Bagel (Richard Coffin) – Investment analysis and market fundamentals
- Investing with Sven Carlin – Value investing and global market insights
- Graham Stephan – Personal finance, real estate, and investing strategies
- New Money (Brandon van der Kolk) – Behavioral finance and long-term investing frameworks
- The Swedish Investor – Book summaries and investment principles
Topics explored include trading algorithms, portfolio theory, financial modeling, valuation metrics, and behavioral economics. This research supports ongoing development of quantitative reasoning and market analysis skills.