The work is organized around the questions that matter most: what was built, what business leverage it creates, and why an operator-first background makes the analytics work stronger.
20+ hrs/week
Automation delivered on recurring reporting workflows.
$277K
Annual savings tied to ticket reassignment prediction work.
$12.7M
Sales-driver analysis tied analytics to commercial decision-making.
35% YoY profit
Delivered before the analytics pivot through high-volume hospitality leadership.
Strongest in business intelligence, financial-data reporting, market-data curiosity, analytics, and automation work that turns vague stakeholder asks into cleaner KPI logic and decision-ready outputs.
Professional read
Strongest when a team needs someone who can absorb messy asks, structure the reporting logic, automate the repetitive pieces, and explain the financial, market, or operational signal clearly to stakeholders.
Trajectory snapshot
Across my work, the pattern is consistent: absorb ambiguity fast, translate it into a cleaner system, then hand back something stakeholders can actually use.
Best-fit roles
Business Intelligence Analyst · Data Analyst · Financial Analyst · Market Data Analyst
Professional focus
Business analytics, BI, financial data
Location
Greater Chicago Area
Current status
B.S. Business Analytics, expected Spring 2027
Fast snapshots here, deeper context in the project library: technical depth, proof surfaces, methodology details, and full project context.
Power BI + stakeholder adoption
Internal BI infrastructure for KPI clarity, adoption tracking, and recurring executive reporting inside Avnet's Command Center buildout.
Headline outcome
Reporting cadence scaled beyond manual capacity
20+ hours/week removed from recurring reporting and follow-up effort.
Deep diveAI workflows + durable context
A multi-agent workflow system for durable context, cross-model handoff, explicit guardrails, and deterministic session close-out.
Headline outcome
Multi-agent AI work stopped depending on chat memory
Working system with 100 scripts, 34 docs, and 58 research artifacts in the read-only source repo.
Deep diveAdidas IT · Gradient Boosting
Classification case study for identifying reassigned tickets before extra handling time and store downtime accumulate.
Headline outcome
Preventable routing friction became a measurable prediction target
Approximately 76.1% accuracy, 85.8% recall, 73.3% F1, and about $277K in annual labor savings, with additional downtime savings cited in the project materials.
Deep diveRegression + cross-validation
Regression case study focused on feature interpretation, model significance, and communication of statistical results.
Headline outcome
Turned audio features into business-readable popularity signals
Statistically significant feature analysis and model interpretation, positioned as an interpretable analytics case study rather than a hard business-impact claim.
Deep diveTF-IDF + logistic regression
Restaurant review modeling using NLP preprocessing, TF-IDF, sentiment analyzers, and logistic regression.
Headline outcome
Customer review text became a usable service-improvement signal
High-accuracy sentiment classification paired with operational feedback a manager could act on, as documented in the final project materials.
Deep diveMultivariable regression
Commercial analytics case study combining regression, benchmarking, and scenario framing to explain net-sales growth levers.
Headline outcome
Advertising and e-commerce were tied directly to net-sales upside
Final materials attribute roughly $12.7M in net-sales lift per additional $1M in advertising spend.
Deep diveAccess + SQL queries
Normalized database design for projects, employees, tickets, services, and client reporting.
Headline outcome
Operations data became structured, relational, and report-ready
Replaced spreadsheet thinking with a structured data model built for queryability, reporting consistency, and future operational growth.
Deep divePython + SQLite + Streamlit
The public-facing proof surface for the market-data analytics lane, connecting ingestion, SQLite storage, dashboard review, source governance, and adjacent QuantStrat ML research docs.
Headline outcome
Market-data experiments became governed analytics workflows
Shows practical financial-data engineering, dashboarding, source governance, and validation discipline without exposing live credentials, token files, private databases, broker/account data, or production quant runtime state.
Deep divePlaid API + Apps Script + Gemini
A local-first finance automation project combining a Python sync engine, spreadsheet data marts, deterministic local analytics, and a bounded Gemini sidebar over explicitly supplied context.
Headline outcome
Private financial records became a local-first analytics workflow
Shows practical privacy judgment, fintech integration skill, and multi-system automation across Python, Plaid, Google Sheets, Apps Script, charts, and bounded AI assistance.
Deep diveEnough signal to understand the stack quickly, without turning the first pass into a full capability matrix.
Analytics
Programming
Automation & Systems
Operator Strengths
The same judgment required to protect margins, lead teams, and keep service moving under pressure now shows up in my analytics and automation work.
Hospitality Management
Led high-volume operations and coached 50+ employees while resolving guest and operational issues in real time.
Drove 35% YoY net profit growth and roughly 18% bar profit improvement through inventory, labor, and service-process discipline.
Transferable edge
Margin awareness, prioritization under pressure, and the ability to keep teams aligned while things are moving fast.
Business Analytics
Translated messy stakeholder asks into structured Power BI models, KPI layers, and reporting outputs people could actually use.
Automated recurring reporting, added QA checks, and connected predictive Python work to business-facing Power BI outputs.
Current leverage
BI systems, analytics, and automation that turn operational ambiguity into cleaner reporting cadence and better decisions.
A small bartender-side module for anyone who wants to see the service craft behind the operator story. Press the rotor and pull a full build, garnish, and glassware call for a seeded classic.
Service craft
Recipe judgment, visual presentation, pacing, and hospitality detail from high-volume service work.
Current scope
A focused public sampler that keeps the bartender experience complete and lightweight.
The full chronology lives on the web CV. This first pass shows the progression quickly: operator foundation, analytics entry, automation buildout, and current systems-building focus.
Aug 2016 - Sep 2024
Hilton Hotels & Resorts · Phoenix, Arizona
Built frontline leadership and operational discipline in high-pressure environments where trust, speed, and judgment mattered every shift.
Jun 2024 - Sep 2024
Avnet · Phoenix, Arizona
Moved from business questions to decision-ready metrics by building dashboards, KPI logic, and recurring reporting outputs.
May 2025 - Jan 2026
Avnet · Phoenix, Arizona
Expanded from dashboarding into automation, predictive analytics, adoption-focused BI infrastructure, and teammate enablement across sales enablement.
Now
Independent projects + OSU coursework · Greater Chicago Area
Building analytics, automation, market-data, and AI-assisted workflow systems while completing B.S. Business Analytics coursework and working in Chicago hospitality.
The throughline is consistent: strong judgment under pressure, fast ramp-up, and work that leaves the system better than before.
"Michael brought tremendous value to my team during his internship. He quickly understood our business needs and consistently went above and beyond to solve challenges, including turning a manual process that took hours into an automated solution completed in about 30 minutes."
Global Sales Enablement Manager
Avnet
"Michael’s attention to detail, interpersonal strength, and instinct for consumer habits helped him grow quickly into management responsibilities. He is dedicated, adaptable, and willing to push himself into new domains."
General Manager
Multi-Unit Hospitality Group
This site is the fuller portfolio and working CV. The PDF resume is available as a concise one-page version for anyone who wants the one-page version before diving deeper.
Hidden in plain sight