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robertciceroson/README.md

Hi, I'm Robert (Bob) Son 👋

AI Business Process Analyst · Scrum Master · Product Owner — I bridge process engineering, agile delivery, and applied AI/ML.

Currently a Delivery Manager & Principal Consultant at Gateway AI Advisory, where I own backlog priorities, acceptance criteria, and deliverable quality across 9 concurrent client AI workflow automation engagements. 8+ years across federal DoD and commercial environments as a Scrum Master, Process Analyst, and Technical Project Manager.

  • 🎖️ U.S. Army Veteran · Active DoD Secret Clearance (TS/SCI Eligible)
  • 📜 CSM · CSPO · AI-Empowered SAFe Agilist
  • 📍 Richmond, VA — open to remote, Puerto Rico, Florida, Texas, New Mexico
  • 🔗 LinkedIn

What I Build

I pair process engineering fundamentals (BPMN, workflow redesign, RACI) with hands-on AI/ML development — from automation scenarios to full RAG pipelines.

Project What it does
📊 process-engineering-portfolio 19 published BPMN swimlane/flowchart/VSM diagrams from federal DoD and commercial engagements (Army CID, Pentagon agencies, client process redesigns).
💰 AI-workflow-ROI-analysis Cost-benefit analysis and ROI model for AI workflow automation — Excel-based CBA calculator with before/after metrics, payback period, and 3-year ROI projection. Live demo
🤖 HR-Policy-QA-Bot RAG-powered HR policy chatbot — LangChain, FAISS, FastEmbed, and Groq (Llama 3.3 70B), served via Streamlit. Grounded, source-cited answers; honest fallback when it doesn't know. Live demo
🏠 Airbnb-Price-Prediction NYC Airbnb price prediction — end-to-end ML pipeline (XGBoost/Random Forest + EDA + interactive prediction interface, ~49K listings). Live demo
🏙️ airbnb-ai-service FastAPI REST API + LangGraph multi-tool agent + BM25 RAG — NYC price prediction + AI-powered Airbnb customer support chatbot (policy search, refund guidance, dispute escalation). Live demo
❤️ Heart-Disease-Risk-Prediction Binary classification pipeline — XGBoost/LightGBM, ~0.92+ ROC-AUC (Cleveland Heart Disease dataset, 303 patients). Live demo
🔢 Digit-Recognition-App CNN-based digit recognition — NumPy MLP from scratch + PyTorch MLP/CNN, ~98–99% accuracy on MNIST + interactive drawing widget. Live demo
🎬 NLP-Movie-Review-Sentiment-Classifier Full NLP pipeline — TF-IDF/Word2Vec/GloVe + fine-tuned DistilBERT, ~91% accuracy, 0.97 ROC-AUC (IMDB dataset). Live demo
🧪 selenium-eligibility-automation 41-case data-driven test suite — Selenium WebDriver + GitHub Actions CI/CD; automated eligibility validation across multiple test scenarios.
📊 Executive Weekly Briefing Dashboard Interactive HTML executive dashboard — filter bar, badge filtering, collapsible sections, live item count. Live demo

Background

  • 🤖 Delivery Manager / Senior AI Business Analyst, Gateway AI Advisory — 9 concurrent client AI workflow automation engagements; RAG pipelines, CBA/ROI reporting, requirements elicitation
  • 🪖 Scrum Master / TPM / Test Lead, Zantech IT Services — Army CID modernization (ALERTS, DRS, ACIS); ScienceLogic helpdesk supporting 10,000–15,000 global users
  • 🔍 Business Analyst, Skybridge Aviation — Stakeholder interviews across 17 departments; AS-IS process engineering package (BPMN diagrams + SOPs) delivered as primary engagement deliverable
  • 📋 Management Analyst / Business Analyst, Copper River Technologies — Validated 50+ enterprise business process deliverables against traceability matrices; BPMN process diagrams for Pentagon/OUSD and WHS engagements
  • 🏛️ IT Acquisition Business Analyst, Protek Consulting — Fourth Estate Manpower Tracking System (FMTS) modernization
  • 🧪 QA Analyst, Deloitte — Selenium/JavaScript test automation
  • 🎖️ Recovery Care Coordinator, T.A. Consulting/GDIT — USMC Wounded Warrior program, 30+ concurrent cases
  • 🎓 M.A. Cross-Cultural Communication & International Relations, Newcastle University
  • 🎓 B.S. Business Administration, VCU

📫 Reach me on LinkedIn

Popular repositories Loading

  1. Airbnb-Price-Prediction Airbnb-Price-Prediction Public

    End-to-end ML pipeline predicting nightly Airbnb listing prices in NYC using the ~49,000-listing NYC Airbnb Open Data (2019) dataset. Covers preprocessing, EDA, feature engineering, and hyperparame…

    Jupyter Notebook

  2. Heart-Disease-Risk-Prediction Heart-Disease-Risk-Prediction Public

    Binary classification pipeline predicting heart disease risk using the Cleveland Heart Disease dataset (UCI ML Repository) — 303 patients, 13 clinical features. Compares multiple models (best: XGBo…

    Jupyter Notebook

  3. Digit-Recognition-App Digit-Recognition-App Public

    Deep learning project building a handwritten digit classifier from first principles — a NumPy MLP coded from scratch (manual backprop), then PyTorch MLP/CNN models reaching ~98–99% test accuracy on…

    Jupyter Notebook

  4. NLP-Movie-Review-Sentiment-Classifier NLP-Movie-Review-Sentiment-Classifier Public

    Full NLP pipeline from raw text to transformer-based classification on the IMDB movie review dataset. Compares classical ML (TF-IDF + Logistic Regression/SVM/Naive Bayes), Word2Vec/GloVe embeddings…

    Jupyter Notebook

  5. process-engineering-portfolio process-engineering-portfolio Public

    16+ BPMN and flowchart diagrams documenting business process engineering across federal DoD and commercial engagements — workflow analysis, automation opportunities, and process redesign.

    HTML

  6. HR-Policy-QA-Bot HR-Policy-QA-Bot Public

    AI onboarding assistant that allows new employees to ask natural-language HR questions relating to the company's benefits/HR policies and get accurate, source-cited answers from company policy docs…

    Python