Yuchen Peng Email & Phone Number

Palo Alto, CA, US

• Lead the machine learning model development and implementation for HP WorldWide demand prediction; define use cases that drive ~$1B value in demand shaping, supplychain optimization and financial forecast.
• Align project roadmap with HP L1 business stakeholders and Head of Analytics.
• Identify and define the use cases for advanced ML techniques, including Generative AI, with HP business partners to shape HP data transformation.

Seattle, WA, US

• Lead the data science effort to develop ML solutions that provide actionable insights to ~2M Amazon selling partners worldwide, to help them make more profitable product offering decisions.
• Lead the engineering effort to implement selling-partner-facing ML solutions as analytics and science products, from data pipeline optimization to user interface design.
• Design staged plan to decompose big strategies into achievable milestones to enable fast iteration and balance between long-term data science and engineering investments vs. short-term business gains.
• Identify business opportunities collaboratively with product managers and use targeted science methodology to verify assumptions in data.
• Contribute to Amazon’s internal DS community by publishing research results as papers as well as peer reviewing scientific work.

Mclean, VA, US

• Oversaw all data science projects for Capital One Consumer and Small Business Retail Deposit business (3M+ accounts), including credit risk management, fraud detection, and customer experience optimization.
• Created frameworks of data driven solutions towards an end-to-end customer life cycle risk management.
• Managed and mentored team members on a daily basis, empowering teammates by helping clear their work impediments, and inspiring teammates to achieve their development goals.
• Provided immediate data driven solutions to urgent top-priority business requests.
• Conducted technical interviews for Capital One’s data scientist recruitment.

Mclean, VA, US

• Led the development, validation, and implementation of credit risk models for Small Business Bank deposit, with a total exposure over $700M.
• Served as the data Subject Matter Expert to conduct data analysis for insight generation and feature design, and to provide consultation for business partners.
• Analyzed data from various sources in addition to relational databases, including unstructured streaming data and third-party vendor data, to discover incremental business value.

Mclean, VA, US

• Build machine learning models using Python for acquisition decision on credit card applications, credit risk prediction on term loan origination, and valuation for small business customers.
• Monitor and validate model performance against changing business environment; design visualization tools to communicate the model impact and business value with business partners.
• Analyze alternative data sources, such as digital data and third-party vendor data, to identify potential business insights and additional sloping-power to existing models.

College Park, MD, US

• Constructed mathematical models for quantum dynamical systems that are applied in quantum computation.
• Designed optimization algorithms to provide solution for the quantum control of the dynamical system.Applied numerical simulation to examine the performance of the solution using Matlab and Python.

College Park, MD, US

• Cooperated with other TAs to grade the homework, quizzes and final exams of PHYS122, a core course for first year undergraduate students, for a class of about 200 students.
• Gave lectures and guided experiments classes of PHYS122 for groups of 30 students.

Doctor Of Philosophy (Ph.D.), Physics

Bachelor Of Applied Science (B.A.Sc.), Physics