MS Business Analytics · UC San Diego Rady · Available Dec 2026

Currently: open to analyst roles from Dec 2026

Dingyi (Mason) Wang

I turn messy financial and operational data into investment and business decisions, using Python, SQL, Tableau and AI-assisted workflows.

About

Analytics

Master of Science in Business Analytics at the Rady School of Management, UC San Diego (12/2026). Capstone consultant for Foodmandu: validated 1,566 vendor records and built Tableau and Python dashboards.

Finance

Bachelor of Economics in Actuarial Science (BTBU, GPA 3.61) and BA (Honours) in Business and Financial Economics (University College Cork). Internships in IPO due diligence and investment research in Beijing.

AI

Founder of Cible Global Inc., building a Python prototype on the Claude API that classifies user inputs and turns unstructured notes into organized Markdown knowledge.

Interested in business and data analyst, finance and strategy, and investing roles, including alternative investments and private markets. U.S. Permanent Resident.

Flagship research

Storage sell-off and US equity concentration: is the US market overvalued?

A data-driven test of a bearish thesis, using FRED and market data through Oct 23, 2026.

QuestionCan any single US company grow past half of US federal debt, a hypothesized ceiling for a bubble?

AnswerNot supported. The largest company (NVIDIA) sits at 0.13× federal debt, though valuation and concentration metrics still look stretched.

−39% to −58%

Peak-to-trough drawdown across six memory and storage names after the June 2026 peak.

~35%

Share of SPY held in Magnificent 7 names (Oct 2026 holdings).

0.13×

Largest US company (NVIDIA) as a share of federal debt, testing a hypothesized 0.5× single-company ceiling.

Skills

Analytics

SQLPythonAdvanced ExcelTableauData validationFinancial reconciliationData qualityInvestment researchComparable-company analysisIPO due diligence

AI & Automation

Claude APIPython-based AI workflowsData processing automation

Languages

Mandarin (native)English (professional)

Experience

01/2026 – Present

Founder & AI Product Developer, Cible Global Inc.

  • Built a Python prototype using the Claude API to classify user inputs and convert unstructured information into organized, reusable Markdown knowledge in Obsidian, standardizing how information is captured, stored, and retrieved.
03/2026 – 06/2026

Analytics Consultant (Capstone), UC San Diego × Foodmandu

  • Consolidated and validated 1,566 vendor records across 26 attributes; built Tableau and Python dashboards for transaction activity and vendor profitability.
  • Segmented vendors into seven tiers (92–99% agreement with K-means), surfaced a 28× ROI gap, and recommended a tiered spend policy.
05/2024 – 08/2024

Analyst Intern, IPO Project Team, Minsheng Securities

  • Reconciled 3+ years of financial and corporate disclosures for an NEEQ listing project before audit sign-off.
  • Tested production and procurement processes through walkthroughs across two full business cycles, identifying 10+ control and documentation gaps and recommending remediation steps subsequently adopted by the client.
06/2023 – 09/2023

Investment Analyst Intern, Huaneng Guicheng Trust

  • Built a comparable-company framework covering LVMH and 10+ consumer peers with standardized growth, margin and valuation metrics.
  • Developed a reusable Excel model with lookup logic and pivot tables to standardize competitive benchmarking, enabling the team to refresh peer comparisons across reporting cycles without rebuilding analyses from source filings.

Selected projects

Identity Fraud Detection Model

03/2026 – 06/2026 · Python, scikit-learn

QuestionCan a small, explainable model flag identity fraud among 1M credit applications?

AnswerYes. Ten variables and a logistic regression capture 29.59% of fraud within the top 3% of reviewed applications on an out-of-time sample.

3,258 → 10candidate variables
29.59%FDR@3%, out of time
~$11.3Mest. annual net savings

Foodmandu Vendor Analytics (Capstone)

03/2026 – 06/2026 · Tableau, Python

QuestionWhich delivery-platform vendors deserve marketing spend, and how much?

AnswerA seven-tier segmentation, validated against K-means, surfaced a large ROI gap and led to a tiered spend policy recommendation presented to Foodmandu.

1,566vendor records validated
92–99%agreement with K-means
28×ROI gap between tiers

NYC Ride-Hailing Supply–Demand Analysis

11/2025 – 12/2025 · Tableau Prep, Tableau

QuestionWhere and when does ride-hailing demand outrun supply in NYC?

AnswerAn ETL flow and LOD calculations quantified per-zone pickup–dropoff imbalance and demand density, surfacing underserved zones and peak windows.

314K+trip records unified
260zones enriched with geography

Leadership

09/2023 – 05/2024

President, Chinese Students and Scholars Association, UCC

  • Coordinated the Chinese Embassy, university administration and local public-safety authorities to deliver a 200+ participant event.

About this build

How I built this with AI

I designed this site and built it with AI coding assistants. I set the direction, wrote the content and made the design calls; the AI tools helped me write, debug and iterate on the code much faster than I could alone.

3D room

A small scene rendered in the browser with Three.js (WebGL), with an HR visitor you can walk around and objects that open project notes.

Static hosting

Plain static files on Cloudflare Pages, with no backend. This 2D page is the quick-read version.

Honest numbers

It is a learning project, not a product. Every figure on the site comes from my résumé or the linked case study.

For interviewers

Which roles are you looking for?

Business and data analyst, finance and strategy, and investing roles, with a strong interest in alternative investments and private markets. Available from December 2026.

Do you need visa sponsorship?

No. I am a U.S. Permanent Resident.

How do you use AI in your work?

As an accelerator, not a substitute for judgment: drafting code, summarizing news and checking reasoning. Every number in my research comes from a cited public source that I can reproduce.

Walk me through the flagship project.

I started from a bearish view on US equities, turned it into a testable claim, pulled FRED and market data, and tested whether any single company can exceed half of US federal debt. The data showed no such ceiling, while valuation and concentration metrics still look stretched. The case study shows each step.

What is a project you are proud of?

The Foodmandu capstone: cleaning 1,566 vendor records and turning a seven-tier segmentation into a tiered spend policy recommendation presented to Foodmandu.

Contact

Available Dec 2026