This portfolio is designed to answer the recruiter questions that matter fastest: what Michael builds, what business leverage he creates, and why his operator-first background makes the analytics work stronger.
20+ hrs/week
Automation delivered on recurring reporting workflows.
$280K
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.
Michael is strongest in business intelligence, analytics, and automation work that turns vague stakeholder asks into reporting systems, cleaner KPI logic, and decision-ready outputs.
Recruiter read
Strongest when a team needs someone who can absorb messy asks, structure the reporting logic, automate the repetitive pieces, and still explain the result clearly to stakeholders.
Trajectory snapshot
The portfolio is built around the same pattern that shows up across Michael's work: 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 · BI Developer
Current posture
Portfolio first, PDF resume second
Location
Phoenix, Arizona
Current status
B.S. Business Analytics, expected June 2026
The homepage stays fast. The full technical depth, proof surfaces, and methodology details now live in the dedicated project library.
Portfolio rule
Equal visual seriousness for every major project, without turning the landing page into a wall of case-study prose.
Power BI + stakeholder adoption
Internal BI infrastructure for KPI clarity, adoption tracking, and recurring executive reporting at Avnet.
Headline outcome
Reporting cadence scaled beyond manual capacity
20+ hours per week removed from manual reporting and follow-up effort
Deep diveCLI orchestration + durable context
A multi-agent automation system for context persistence, cross-model handoff, and deterministic session close-out.
Headline outcome
Multi-agent AI work stopped depending on chat memory
100 automation scripts, 34 operating docs, and 58 research receipts in a working cross-model CLI workflow ecosystem
Deep diveAdidas IT · Gradient Boosting
Classification model for identifying reassigned tickets before extra handling time and store downtime accumulate.
Headline outcome
Reassigned tickets averaged roughly a week longer to resolve
76% accuracy, 86% recall, 73% F1, and roughly $280K in modeled annual labor savings
Deep diveRegression + cross-validation
Regression case study focused on feature interpretation, model significance, and business-readable music analytics.
Headline outcome
Turned audio features into business-readable popularity signals
Statistically significant regression work with feature-level interpretation instead of inflated black-box claims
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 signals a manager could act on
Deep diveMultivariable regression
Retail and e-commerce driver analysis combining regression, industry benchmarking, and scenario-based recommendation framing.
Headline outcome
Advertising and e-commerce were tied directly to net-sales upside
Estimated ~$12.7M in net-sales lift per +$1M of advertising spend in the final model
Deep diveAccess + SQL queries
Normalized Access 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 relational model built for queryability, consistency, and future growth
Deep diveEnough signal for a recruiter to understand the stack quickly, without turning the homepage into a full capability matrix.
Analytics
Programming
Automation
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 15+ 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.
What it shows
Recipe judgment, visual presentation, and the hospitality side of the broader portfolio.
Future state
Ready for your spreadsheet-backed cocktail catalog once the full recipe sheet lands.
The full chronology lives on the web CV. The homepage just shows the progression quickly: operator foundation, analytics entry, automation buildout, and current recruiter-facing positioning.
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
Recruiter-facing narrative · Phoenix, Arizona
Packaging operational credibility, analytics rigor, and automation instinct into a recruiter-first personal product.
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 fast recruiter handoff for anyone who wants the one-page version before diving deeper.
Hidden in plain sight