Data Analyst Science

YINGTONG WANG

765-***-**** ********@******.***

https://www.linkedin.com/in/sophia-yingtong-wang/

PROFILE

Data science graduate student with hands-on experience in data analytics, statistical modeling, and big data tools such as Spark and Hadoop. Proficient in Python, SQL, and Tableau. Skilled in transforming complex data into actionable insights.

EDUCATION

Purdue University, Daniels School of Business

M.S. in Business Analytics and Information Management, GPA 3.75/4.0

West Lafayette, IN

August 2025

Krannert Fellowship Scholar

Beijing Technology and Business University (BTBU), School of Business

Bachelor of Management, Major in Intelligence Accounting, TOP 5%

Bachelor of Economics, Minor in Financial Technology, GPA 4.0/4.0

Beijing, China

July 2024

Excellent Student First-Class Scholarship (10/2023)

PROJECTS & COMPETITIONS

Kearney

Industry Practicum Project, Data Analyst

Remote, United States

January 2025 – April 2025

Cleaned and standardized 210,000+ rows of procurement and tail-spend data ($1.7B) across 10,000+ global suppliers, ensuring accuracy and readiness for analysis.

Built Tableau dashboards to visualize supplier performance (lead time, pricing, compliance), enabling sourcing managers to make data-driven decisions.

Delivered insights that led to a plan consolidating 50%+ of suppliers, contributing to a projected $40M cost reduction by 2026.

Liaised with consultants and stakeholders to deliver weekly insights and co-develop executive-level presentations for global steering committees.

Selected to present a capstone project titled “Data-Driven Procurement Optimization: Unlocking Cost Savings in Indirect Spend” at the 2025 INFORMS Annual Conference.

Kaggle Competition – Crossroads Classic Analytics Challenge 25

Team Leader, Data Analyst

Remote, United States

January 2025 – March 2025

Directed a 4-person team to forecast NCAA semifinal and championship outcomes using fan-submitted bracket data, placing 6th on Kaggle’s private leaderboard out of 100+ teams.

Constructed predictive models from 50,000+ observations using XGBoost and ensemble techniques.

Applied model evaluation metrics (e.g., accuracy, AUC) and cross-validation to ensure model generalizability across large-scale datasets.

Developed a Tableau dashboard to visualize prediction accuracy, regional biases, and fan behavior trends.

PROFESSIONAL EXPERIENCE

Pacific Securities Co., Ltd

Financial Data Analyst

Beijing, China

December 2022 – February 2023

Analyzed 10 years of real estate and LGFV bond data using Excel (PivotTables, time-series plots), and integrated macroeconomic indicators from Wind and Statista to inform market research and fixed-income strategy.

Refined financial documents to ensure reporting accuracy and alignment for internal use.

E&Y Hua Ming Certified Public Accountants LLP

Audit Intern

Beijing, China

July 2022 – August 2022

Audited $100M in related-party transactions and conducted data validation using advanced Excel functions

(e.g., VLOOKUP, PivotTables, conditional formatting) during a mid-term review for a major energy client.

TECHNICAL SKILLS

Programming & Tools: Python, R, SQL (MySQL), Excel, GitHub, Jira

Data Science & ML: EDA, A/B Testing, Hypothesis Testing, Regression, Decision Trees, XGBoost, K-Means, Bayesian Models, SAS Enterprise Miner

Big Data & Cloud: Spark, Hadoop, Hive, Azure, AWS

Visualization: Tableau, Power BI

CERTIFICATIONS

Microsoft Certified: Azure AI Fundamentals & Azure Fundamentals (2024); ACCA 5/13

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