# Allen Tang

> Data Scientist | Applied AI & LLMs | Pricing & Demand Forecasting | Building Scalable Decision Systems

Location: United States, United States
Profile: https://flows.cv/allentang1

I’m a Data Scientist with 4+ years of experience at Nestlé Purina, where I build AI and machine learning solutions to support pricing, demand forecasting, and supply chain decisions.
 
My work focuses on turning messy, ambiguous business questions into scalable, production-ready models that actually get used. From designing end-to-end pipelines to deploying models and iterating with stakeholders, I enjoy working across the full lifecycle to deliver solutions that drive measurable impact.
 
Recently, I’ve been expanding into LLM and generative AI applications, exploring how they can be integrated into decision systems and business workflows to make insights more accessible and actionable.
 
I enjoy collaborating with cross-functional teams and translating technical outputs into clear, practical recommendations that help the business move faster and make better decisions.

## Work Experience
### Data Scientist @ Nestlé Purina North America
Jan 2025 – Present

### Data Scientist Associate @ Nestlé Purina North America
Jan 2022 – Jan 2025 | United States
• Delivered 20+ high-impact AI/ML projects across Sales, Marketing, and Supply Chain, managing them end-to-end, including business consulting, model development & deployment, and data storytelling.  
• Led enterprise-wide demand forecasting and anomaly detection initiatives to accurately predict and interpret demand, sales trends, and market dynamics using models including Prophet, XGBoost, and LSTM, achieving over 95% accuracy. 
• Launched innovative AI/ML solutions, saving over $1M annually by enhancing operational efficiency and reducing reliance on third-party services.

### Data Science Intern @ Nestlé Purina North America
Jan 2022 – Jan 2022 | United States

### Graduate Teaching Assistant @ Washington University in St. Louis - Olin Business School
Jan 2023 – Jan 2023 | United States
• Organized interactive Tableau classes, held Q&A sessions, and compiled performance reports.
• Evaluated assignments and projects, provided feedback, and coordinated with students regarding absence.

### Industry Research Associate @ 西部证券股份有限公司
Jan 2021 – Jan 2022 | Chengdu, Sichuan, China
• Performed comprehensive exploratory data analysis (EDA) on financial indices to identify key trends and patterns specific to the insurance industry. Leveraged Databricks for seamless data processing, advanced analytics, and visualization, enabling precise regression analysis to inform strategic decision-making.
• Conducted in-depth financial modeling and valuation analysis by meticulously reviewing the latest research reports from leading financial institutions. Analyzed financial statements of top-tier insurance companies to derive insightful models, perform company valuations, and compile detailed research reports that inform investment strategies and business decisions.

### Industry Research Assistant @ 开源证券股份有限公司
Jan 2020 – Jan 2020 | Shanghai, China
• Executed an in-depth financial analysis of the Chinese semiconductor sector, leveraging cutting-edge data mining algorithms to unveil critical insights and emerging trends.
• Crafted comprehensive weekly reports by synthesizing intricate financial analyses of selected entities, thereby enhancing strategic decision-making and optimizing business outcomes.
• Applied advanced expertise in financial modeling and data visualization to distill complex findings from premier industry reports into compelling and impactful presentations, effectively communicating sophisticated financial data through visually engaging slides.


## Contact & Social
- LinkedIn: https://linkedin.com/in/allen-ds
- GitHub: https://github.com/Allen9809

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Source: https://flows.cv/allentang1
JSON Resume: https://flows.cv/allentang1/resume.json
Last updated: 2026-04-20