Open to opportunities

yifan zhang

@yifanzhang

Message

Applied economics and financial analytics founder, transforming data into forecasting and investment-ready insights.

United States

Message

What I'm looking for

I’m looking for a role where I can build rigorous financial models and data-driven dashboards, collaborate with cross-functional teams, and turn complex datasets into clear decisions and forecasting.

I’m an applied economics graduate with a 4.0/4.0 GPA (top 1%) and hands-on experience turning messy financial data into decisions. I’ve combined quantitative coursework like microeconometrics and time series with real-world analysis to support forecasting, reporting, and strategy.

As Founder at Securities, I analyzed risk profiles and transaction patterns for 500+ clients using Excel/CRM to recommend products and mitigate market exposure. I also devised data-backed marketing strategies that drove a 12% increase in sales conversion rates through precision client segmentation.

I’m equally comfortable building the engine behind the insights. I led a Python-based automated DCF model (reducing manual errors and improving speed by 40%) and engineered validation protocols for 5,000+ institutions to ensure 95%+ data integrity. I’m now focused on roles where I can optimize analytics processes—like the interactive dashboards I’ve improved by 15%—and deliver reliable, business-ready results.

Experience

Work history, roles, and key accomplishments

Current

Strategic Analysis Intern

Current

RELAYTO AI

Feb 2026 - Present (4 months)

Optimized business intelligence reporting processes and improved stakeholder engagement by 15% through data-backed interactive dashboards. Strengthened reporting workflows to support clearer decision-making.

Power BI Tableau Business Intelligence Dashboarding Stakeholder Engagement

Lead Developer (DCF Modeling)

Automated Financial Modeling

Jan 2026 - Mar 2026 (2 months)

Built an automated Python DCF model to calculate enterprise intrinsic value, eliminating manual errors and improving modeling speed by 40%. Developed a web-scraping pipeline with BeautifulSoup to reconcile historical financial statements and improve forecasting accuracy.

Python Intrinsic Valuation Data Pipelines Web Scraping BeautifulSoup Data Reconciliation Forecasting

Research Assistant

Renmin University of China

Oct 2024 - Mar 2026 (1 year 5 months)

Engineered validation protocols for a relational database of 5,000+ institutions to ensure 95%+ data integrity for large-scale financial reporting. Supported reliable downstream analysis by strengthening quality checks within the database.

Relational Databases Data Validation Data Integrity Data Quality Assurance Financial Reporting Data Modeling

Teaching Assistant & Grader

Johns Hopkins University

Jan 2025 - Dec 2025 (11 months)

Optimized assessment workflows for 500+ students, improving instructional support efficiency by 25% with standardized feedback frameworks. Increased consistency and turnaround time for grading and student feedback.

Grading Workflow Optimization Assessment Design Student Support Excel Administrative Coordination

Financial & Data Analysis Intern

Founder Securities

Jul 2023 - Sep 2023 (2 months)

Analyzed risk profiles and transaction patterns for 500+ clients using Excel/CRM to support product recommendations and mitigate market exposure. Built data-backed marketing strategies that increased sales conversion rates by 12% through precision client segmentation.

Excel CRM Systems Market Segmentation Data Analysis

Monetary Management Intern

People's Bank of China

Jul 2022 - Sep 2022 (2 months)

Led a comprehensive audit of 1,000+ financial records to evaluate policy efficacy and ensure compliance with internal protocols. Produced quantitative empirical reports that informed regional policy adjustments for management.

Monetary Policy Analysis Compliance Auditing Quantitative Modeling Empirical Reporting Excel Data Validation

Education

Degrees, certifications, and relevant coursework

Johns Hopkins University

Master of Science in Applied Economics, Applied Economics

2024 - 2025

Grade: 4.0/4.0 (top 1%)

Pursuing an M.S. in Applied Economics at Johns Hopkins University (Aug 2024–Dec 2025), including coursework in financial economics, microeconometrics, time series, and behavioral economics. Earned a 4.0/4.0 GPA (top 1%).

Xi’an Jiaotong-Liverpool University

Bachelor of Science in Economics and Finance, Economics and Finance

2020 - 2024

Grade: 3.6

Earned a B.S. in Economics and Finance at Xi’an Jiaotong-Liverpool University (Aug 2020–Jul 2024), with coursework in microeconomics, macroeconomics, intermediate microeconomics, and experimental economics/finance. Achieved a 3.6 GPA.