Ricardo A. Ortiz
I help operations teams turn large datasets into faster, smarter decisions. At Samsung, I routinely pulled millions of records from big-data systems to build simulations that predicted outcomes before we changed the process. I’m excited to bring that same analytical rigor to P&G’s Supply Network Operations—improving forecast accuracy, inventory turns, and OTIF service.
Why I’m a strong fit for SNO
SNO thrives on pattern detection, scenario testing, and crisp communication. My background pairs hands-on manufacturing analytics with leadership and entrepreneurial execution:
- Scale the data: experience querying and cleaning millions of datapoints to find true signals.
- Predict before you act: built simulations/digital experiments to de-risk changes and prioritize impact.
- Translate to action: partner with engineers & stakeholders to turn analysis into measurable outcomes.
- Operate like a business: logistics, planning, and P&L thinking from events and a bootstrapped startup.
Result: better service levels, fewer surprises, and more confident decisions across the supply network.
Samsung Austin Semiconductor — Process Engineer (Intern)
Big-data analytics • Simulation • Risk-down decisions
- Queried and analyzed millions of records from fab data systems to map variation drivers and predict downstream impact.
- Built simulation models to test “what-ifs” (tool states, recipes, sequencing) and forecast outcomes pre-implementation.
- Used predictions to prioritize changes with the highest yield/throughput upside while reducing risk to live WIP.
- Partnered with cross-functional teams to validate findings and roll out changes with clear success criteria.
Skills SQL / Python • Data wrangling • DOE & simulation • Root cause • Visualization • Change management
Relevance to SNO: strengthens demand planning, production scheduling, and inventory positioning—by testing scenarios before committing capacity.
Valero Energy — Process Controls Engineer (Intern)
Controls • Reliability • Ops communication
- Supported control-loop and instrumentation health to keep units on spec, minimizing process upsets and rework.
- Built dashboards/checks to spot early warnings (drift, noise, deadband issues) and coordinate maintenance windows.
- Partnered with operators to translate data into actions—tightening targets, stabilizing run plans, and protecting throughput.
Skills PI/SCADA • Control logic • Alarm rationalization • Communication with operators
Relevance to SNO: discipline in controls and reliability maps to stable supply plans, service continuity, and less firefighting.
Corporate Chair — Student Engineering Council (SEC)
Partnerships • Sponsorships • Events at scale
- Secured $50,000+ in funding by developing relationships with Fortune 500 companies and mid-market partners.
- Facilitated partnerships through strategic event planning and communication; enabled ~500 students to gain professional exposure.
- Led collaboration between orgs and external stakeholders to align goals and maximize value.
Skills Stakeholder management • Negotiation • Event operations • Messaging • Metrics tracking
Endurance mindset — Ironman bet → 70.3 finish
- What started as a bet with my roommate became a full build toward an Ironman 70.3.
- I didn’t know how to swim at the start and had only 5 months to train, so I built a plan with weekly progression and metrics.
- Race day: 6 hours 6 minutes — executing pacing, fueling, and transitions under pressure.
- Transfer to SNO: treat demand and supply like training blocks—plan, measure, adjust.
Operator mindset: events & a bootstrapped startup
- Co-organized multiple 5K events during COVID focused on mental health—vendor coordination, permitting, runner flow, volunteer staffing, and safety.
- Co-founded a pressure-washing company: launched with $550 → generated $3,500 revenue managing quoting, scheduling, and cashflow.
Relevance to SNO: practical planning—materials, timing, capacity, and service—plus P&L ownership.
How I’d apply this at P&G SNO
Data → Insight → Action
1) Forecast & scenario testing
Use historical demand and service data to run simulations that rank the highest-impact planning moves.
2) Smart inventory positioning
Model buffers by node/SKU; optimize reorder points with variability and lead-time constraints built in.
3) Playbooks & comms
Turn analyses into one-page playbooks with thresholds, triggers, and owners so decisions travel fast.
Toolbox
Reach out!
I’d love to discuss how I can help P&G’s SNO team make faster, smarter calls with data.
📧 ricardo.ortiz@utexas.edu | 🔗 linkedin.com/in/ricardoalbertoortiz