Hi! I’m Cyrus Redjaee– a senior at the University of Michigan pursuing a dual degree in Economics and Jazz & Contemplative Studies. My academic path blends analytical thinking with creative passions, combining rigorous economic modeling with improvisational music.
Through roles in marketing, project management, and financial operations, I’ve developed a strong foundation in tools like Python, R, and Excel while tackling real-world challenges. I enjoy bridging the gap between data-driven analysis and creative problem-solving.
In addition to my academic and work experiences, I’ve earned multiple Global Career Accelerator (GCA) certifications to sharpen my skills in applied data analytics and digital strategy:
I’m passionate about using data to drive smarter decisions — whether it’s optimizing sustainable energy systems, improving business operations, or developing insights that make an impact. I’m curious, adaptable, and always eager to learn something new.
Feel free to connect with me on LinkedIn or reach out via the contact section below!
Tools:
ChatGPT, CSS, Excel, GitHub Pages, Google SEO tools, HTML, JavaScript, Markdown, NumPy, Pandas, Python, RStudio, STATA, VS Code
Skills:
A/B Testing, Budgeting & Cost Analysis, Client Relationship Management, Content Strategy, Data Analysis, Data Cleaning, Data Visualization, Financial Forecasting, Keyword Research, Leadership, Project Management
Trainee – Rotational Program | University of Michigan | Fall 2025
Branch Manager
Ann Arbor, MI | Mar – Aug 2025
Ran my own small painting business as a student entrepreneur, balancing sales, operations, and leadership in the field.
Energy Sustainability Analyst
Ann Arbor, MI | May – Aug 2024
Used data science and economic modeling to solve real-world sustainability problems in Detroit’s energy grid.
Accountant
Manassas, VA | Jun – Aug 2023
Oversaw finance operations at a family-run jewelry store, streamlining processes and driving profitability.
This is a research paper for my independent research project in ECON 499 analyzing how U.S. oil sanctions affected Iran’s economy after 2018.
I examined macroeconomic data on GDP, inflation, trade, and welfare outcomes to evaluate how sanctions shaped economic stability and public well-being.
I created a presentation on Angelucci & Bennett’s RCT study of pharmacotherapy and livelihoods assistance in India. I accurately interpreted and implemented regression analysis, examining impacts on depression, employment, and economic well-being in rural communities.
I built a Python-based simulation to explore how trader behavior, noise, and sentiment drive asset price volatility. I tested scenarios with different reaction speeds, sentiment biases, and noise levels to analyze their effects on price dynamics.
Developed a fully branded landing page for a non-profit using AI coding assistance, HTML, and CSS. Integrated audience insights, visual storytelling, and persuasive copy to raise awareness and drive donations.
Designed compelling data visualizations based on Intel’s Corporate Responsibility Report, translating complex sustainability data into clear, engaging visual narratives. Focused on promoting environmental awareness and business responsibility.
Created and analyzed a personal social media strategy focused on career branding and LinkedIn engagement optimization.
Implemented keyword strategies and structural changes to improve SEO performance and digital reach of personal website.
Analyzed A/B test results on social media engagement, determined statistical significance, and made data-driven recommendations for the optimal CTA button to increase GRAMMY U memberships.
I am currently designing an experimental study testing how altered cognitive states affect the coherence of verbal explanations. Participants provide scenario-based explanations that are scored on clarity, logic, organization, and reasoning. I will apply regression analysis while controlling for baseline coherence measures to estimate treatment effects.
• Python (NumPy, Pandas)
• RStudio
• STATA
• Excel / MS Office
• JavaScript, HTML, CSS
• Data Analysis & Statistical Modeling
• Financial Forecasting & Cost Analysis
• Project & Client Relationship Management
• Leadership, Team Training & Communication