Senior Business Systems & Data Analyst
I translate complex processes, enterprise platforms and fragmented data into requirements, validated solutions and decisions that move operations forward.
01 — Professional identity
Scroll to enter02 / Signature perspective
A dashboard is the final frame. The real work begins with the business question and every handoff behind it.
03 / Choose your lens
The same career, focused around the evidence most relevant to your role.
Evidence
BRD / FSD / user stories BPMN & current-to-future state UAT, RTM & release readinessWorking language
04 / Selected work
Public-safe narratives that show how I frame problems, connect systems and validate outcomes.
Enterprise modernization
Case study 1 of 4Mapped business requirements through SAP migration, field-level reconciliation and dashboard validation so planning and order teams could move from legacy uncertainty to trusted operational reporting.
Omnichannel operations
Case study 2 of 4Traced order states across store, digital, inventory, warehouse and transportation systems to document rules, investigate exceptions and stabilize fulfillment journeys such as BOPIS and ship-from-store.
Retail intelligence
Case study 3 of 4Connected retail sales, order and transaction data to cloud reporting, reconciling source records and KPI logic before executives saw the result in mobile and web dashboards.
Built a reproducible late-delivery risk baseline on 180K+ supply-chain records, comparing three model families and framing machine learning output as a decision signal—not an unquestioned answer.
05 / AI & decision intelligence
Exclusive case study · Supply-chain resilience
I built an end-to-end late-delivery risk framework that connects machine learning to an operational question: which orders deserve attention before fulfillment risk becomes an exception?
Explore the ML repositoryDecision pipeline
180,519 transactions · 53 source fields
Protected the model from post-outcome signals
Logistic Regression · Random Forest · XGBoost
Sigmoid and isotonic probability calibration
Risk tiers · human review · operational triage
Interactive model observatory
Delivered the strongest overall discrimination and became the reproducible baseline for late-delivery risk ranking.
Isotonic calibration tightened the relationship between predicted risk and observed outcomes, supporting clearer risk tiers and more defensible human review.
Python
pandas
NumPy
scikit-learn
XGBoost
Random Forest
Logistic Regression
ROC curves
Confusion matrix
Feature importance
Probability calibration
joblib
Matplotlib
Git
GitHub
06 / Technology universe
Tools matter when they help clarify a process, trace a record, test a rule or make an operational decision.
Discovery
Gap analysis
BRD / FSD
User stories
BPMN
Traceability
SAP S/4HANA
SAP ECC
Salesforce CRM
Sales / Service Cloud
Agentforce
Oracle RMS
Dynamics 365
Supply chain
Order management
WMS / OMS / TMS
Retail POS
Fulfillment
SQL
Power BI
Looker
Fabric
BigQuery
Python
REST / SOAP
Postman
Swagger
Azure
GCP
AWS
SIT / UAT
Data validation
Defect triage
Jira
Confluence
ADO
07 / Published research
Paper 01Short communication · Empirical research · 2026
Moves late-delivery prediction beyond ranking toward probability reliability, calibrated risk tiers and human-governed operational triage.
Paper 02Empirical machine-learning research · 2026
Tests whether pre-fulfillment information can identify elevated delivery risk early enough to support intelligent warehouse exception management.
08 / Career journey
My career has moved through code, business analysis, enterprise applications, operations and analytics. Each chapter added another layer of the same craft: making complex systems understandable and dependable.
Retail data, Looker reporting, cloud migration, transaction reconciliation and production support.
Omnichannel order flows, WMS / OMS / TMS integration, BigQuery validation and UAT leadership.
SAP ECC to S/4HANA validation, Python reconciliation and Power BI functional design.
E-commerce, inventory optimization, forecasting, APIs, search and recommendation systems.
09 / Education & credentials
Recognized foundations in business analysis, Agile delivery, process improvement, analytics and applied AI.
Certified Business Analysis Professional · IIBA
Advanced practice across stakeholder discovery, requirements strategy and solution evaluation.
CSM · Scrum Alliance
Enabling self-organizing teams through facilitation, coaching and servant leadership.
Quality and continuous improvement
Using structured, evidence-led methods to find causes, reduce variation and improve processes.
Foundational AI and responsible adoption
Connecting AI concepts and Salesforce capabilities to responsible, data-ready business use cases.
Applied AI-agent design and delivery
Building, grounding, testing and governing reliable agents across their delivery lifecycle.
Manufacturing & Supply Chain · Forage
Applied engineering data to realistic aerospace manufacturing and supply-chain decisions.
Global Supply Chain · Sacred Heart University
A quantitative foundation for translating operational data into defensible business decisions.
A public learning record that complements hands-on business analysis, customer-data mapping, API validation and Salesforce-connected process work.
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