Xiaobing (Peter) Shang
CDFM · MBA
Federal Financial Manager · Data Scientist · Agentic AI Specialist · Digital Transformer
Senior federal financial professional with 15+ years of experience in financial management combining
AI/ML, data science, and full-stack development to build production systems at the intersection of policy and technology.
Professional Summary
Senior Federal Financial Management professional specializing in financial management, budgeting, enterprise analytics, and internal controls. Extensive CFO-level advisory experience supporting $1,000B+ portfolios. Expertise spans financial governance, reconciliation, cost modeling, risk analysis, technology adoption, and systems modernization.
Core Competencies
Federal Financial Management & Governance
Financial Reporting & Compliance Oversight
Budget Formulation & Execution Strategy
Payroll & Workforce Cost Modeling
Financial Systems & GL Integration
Contract Oversight (COR)
Congressional & OMB Financial Reporting
Advanced Data Analytics & Dashboards
Financial Statement & Ratio Analysis
Capital Budgeting & DCF Analysis
Quantitative Modeling & Forecasting
Professional Experience
Portfolio Manager - Analytics & Reconciliation
Office of the Secretary of Defense (Comptroller), Department of Defense
Pentagon, DC | GS-0560-15
Lead enterprise financial analytics portfolio supporting senior leadership. Oversee multidisciplinary team delivering CFO decision-support tools using ADVANA platform.
- ▸Directed integration of 20 general ledgers into centralized execution reporting covering $338B in obligations/expenditures and $200B in accounts receivable, payable, revenue, expenses
- ▸Developed Department-wide Spend Plan Module aligning planned funding with execution outcomes
- ▸Designed payroll and workforce liability forecasting models
- ▸Established financial governance metrics and reconciliation controls improving audit traceability
- ▸Provide executive-level variance, trend, and risk analysis for senior leadership decision-making
Senior Budget Analyst
Office of the Secretary of Defense (Comptroller), Department of Defense
Pentagon, DC | GS-0560-15
- ▸Managed formulation and execution review for major defense portfolios
- ▸Reviewed 40+ Budget Justifications; issued 50+ Program Budget Decisions; identified $2B+ realignments
- ▸Conducted financial trend and variance analysis; responded to OMB and Congressional inquiries
- ▸Automated financial databases improving reporting speed and reconciliation accuracy
Financial Systems Analyst / Budget Analyst
Department of Defense – Office of Inspector General
Alexandria, VA | GS-13/14
- ▸Built automated spend plan forecasting and financial risk assessment models
- ▸Reconciled 700K+ transactions resolving $10M abnormal balances
- ▸Performed COR duties overseeing contract cost, schedule, and performance compliance
- ▸Conducted internal control reviews and authored financial management procedures
Budget Analyst / Resource Manager / Program Analyst
U.S. Army (Multiple Commands)
Redstone Arsenal, AL | Germany | Korea | GS-11/12
- ▸Managed $45M payroll program for 500+ personnel; reduced payroll excess by 20%
- ▸Managed financial operation, internal control, GPC program and 1,100 individual GTC accounts; reduced GTC delinquency rate by 40%
- ▸Executed funds in GFEBS (SAP-based ERP) and conducted UMD/ULO reconciliations
- ▸Applied Earned Value Management to monitor acquisition cost, schedule, and performance
IT & Data Science
Analytics & Data
Python (Pandas, NumPy), SQL, R, Advanced Excel (VBA), Tableau, Power BI, Qlik, Databricks, Amazon S3, Financial Data Modeling, ETL Automation, Dashboard Development, Data Visualization, Statistical & Predictive Analysis
Technology & Systems
Next.js 15, React 19, TypeScript, Prisma ORM, PostgreSQL, NextAuth v5, Gemini 2.5 AI, Vercel, GitHub Actions · Machine Learning, Agentic AI, RAG, LLM Prompting · Financial Systems Integration, Cloud Computing (AWS), Data Engineering & Automation, Cybersecurity & System Controls, Full-Stack Development
Education
Master of Data Science
Saint Peter's University
2025
M.S. Cyber Investigation and Digital Forensic Investigation
University of Maryland Global Campus
2023
M.S. Cybersecurity Technology
University of Maryland Global Campus
2022
MBA
University of Phoenix
2009
B.S. Accounting
University of Maryland University College
2010
Certifications
Certified Defense Financial Manager (CDFM)
DoD Financial Management Level III
IBM Data Science Professional Certificate
DAWIA Financial Management Level II (Acquisition)
George Washington University Data Analytics Boot Camp
5-Day AI Agents Intensive Course with Google
Portfolio & Projects
Real-world applications in federal financial management, AI engineering, and data science.
MyThing — Personal Knowledge Platform
shangthing.vercel.app · Full-stack AI-powered web application
A production-grade personal knowledge management system built entirely from scratch — 102 files, 4,300+ lines of TypeScript. Features an AI agent (Gemini 2.5), automated tech news aggregation, AI-analyzed daily journaling, federal finance Q&A, and a full portfolio showcase. Architected, designed, and deployed end-to-end.
Gemini 2.5 AI
AI chat agent with Peter's full context, live search, and RAG over personal notes
Tech News Feed
Automated Python scraper with GitHub Actions ingesting RSS feeds daily via AI summaries
Daily Notes + AI
Personal journal with AI analysis — headline, key ideas, action items, sentiment, themes
NextAuth v5 Auth
Google OAuth + passphrase login with private/public route middleware protection
Fed Finance Q&A
AI knowledge base over federal financial regulations, OMB circulars, DoD policy
Full-Stack Platform
Next.js 15, React 19, Prisma ORM, Neon PostgreSQL, Vercel Edge deployment
Tech Stack
Federal Financial Management
Data Science & Analytics
ML AI Knowledge Hub
NEWComprehensive machine learning reference with 8+ algorithms (Logistic Regression, SVM, Random Forest, SGD, KNN, Naive Bayes, K-Means, GMM), evaluation metrics, clustering techniques, and production AI agents framework. Real-world DoD/federal use cases.
Get In Touch
Have a question or want to work together? Send me a message and I'll get back to you as soon as possible.