Denver, Colorado, United States
[email protected] - A GREEN CARD HOLDER goal-oriented and problem-solving Project Manager with domestic and international experience in large scale projects using AI, Lean Six Sigma, PMI and IT tools to optimize processes. Over 10 years of experience implementing projects in Business Process Optimization, Mining, Supply Chain, SAP-MM. Combines AI, automation and Lean process optimization whenever possible to streamline processes, to reach ground breaking gains in efficiency. Develops strategies to improve methodologies and achieve organizational objectives. Adapts quickly to unique projects and situations, drawing on a wide-ranging knowledge base to institute highly successful plans. A cost-conscious coordinator who streamlines systems to grow company operations. +Main Accomplisments: • Used Artificial intelligence combined with Lean Six Sigma Process Optimization techniques to achieve 10x plus productivity gains at Dell. • Managed U$3 Billion Project at AngloAmerican. Implemented Anglo's first PMI project in Brazil. • Led $126M cross-functional cost reduction initative at Anglo American to achieve budget targets. • MRP implementation Manager in PepsiCo-USA's U$1.5 Billion SAP implementation. • Safety stock cost reductions in the order of 75% at PepsiCo and Brahma. • DMAIC project with potential cost reduction of U$541.000/yr in transportation costs. • Developed Tropicana Bradenton Plant 5S implementation plan. • Procurement policy negotiation allowing U$250.000/yr. transportation cost savings at Naked Juice. • R$12M/yr procurement savings at Açominas combining IT and process re-engineering. • Increased sales productivity by 3X by combining process improvement and IT automation at Rheem Brazil. • Coached and Managed direct reports from Jr. to Management level. +Expertise: • AI and Data Science for Process Optimization and Root Cause Analysis • Continuous/KPI Improvement • Machine learning • Project Management and PMO development • Strategic Planning • Lean Six Sigma Black Belt projects • Proj. Mgt Consulting (Certified PMP, CSM) • Total Quality Management/5S • Supply Chain Management optimization • Decision Support Tool Development • Business Process Improvement • Data Mining and Analysis • SAP MRP/P2R/STO ETL +Academic Highlights: • Post-Graduation in Data Science at USI Switzerland • Lean Six Sigma Black Belt from Villanova University • MBA in Finance from University of Tampa, USA. • Bachelors in Mechanical Engineering with a concentration in Operations Research (Also known as Management Science or Production Mgt).
- Principal Data scientist in charge of optimizing processes using Lean and Artificial Intelligence. - Developing a system to analyze 1.8 million call center transcripts per month and consolidate insights into an issues dashboard.
🔵 AI-Powered Continuous Improvement Framework — End-to-end suite of 4 agents bridging customer voice → KPIs → root cause resolution (bit.ly/4vu8ySD): (1) Natural Language→KPI Agent: plain-language needs → 40 KPIs across 8 business dimensions; (2) KPI Breakdown Agent: strategic KPIs → 30–40 operational sub-KPIs; (3) Problem-Solving Dashboard: Auto-ML control charts with real-time alerts; (4) RCA Fishbone Agent: 6M root cause brainstorming → complete fishbone in seconds. 🔵 Enhanced Auto-ML Problem Solving Dashboard (originally built at Dell Digital): Added KPI–root cause correlation analysis across 10K+ monthly surveys — automated discovery of performance drivers, reducing analysis from weeks to minutes. 🔵Auto-ML Forecasting Framework: Streamlit app guiding non-data-scientists through EDA → model selection for supply chain demand planning. Chooses between Neural Nets, XGBoost, CatBoost, LightGBM and 15 other models. 🔵 Enterprise AI Agents deployed in production: - Real Estate Voice Agent (GPT-4o Realtime + Vapi): AI proactively calls prospects, conducts qualification interviews, delivers pre-screened leads — saving clients 80% of prospecting time. - Law Office RAG System: Reduced petition research from 4 hours to minutes via semantic chunking; auto-generates client-specific fee contracts. - DevOps Monitoring Agent (Encora Inc.): Kubernetes + Wind River API health monitoring — 8x faster incident detection. 🔵 AI Developer Tools: - Self-Improving Prompt Engineer: Iteratively refines prompts until no further improvement is found — outputs production-grade agent system prompts (SQL optimizer, LSS Expert Bot) from a brief description. - Function-to-API Agent: Python function → production-ready Flask API in 60 seconds vs. 2–3 hours (agent.ai/agent/Function_2_API). - Financial Analysis Agent (LangGraph): autonomous research + reporting. - Instagram Ad Generator: David Ogilvy-style copy with brand style extraction (agent.ai/agent/Ad_Generator).
• Use of Artificial Intelligence combined with Lean Six Sigma and Total Quality Techniques to achieve productivity gains of 10x or more in process optimization. • Fine-tuned LLMs on Dell customer service unstructured data to create customer support chat-bot. • Responsible for improving customer satisfaction KPI for e-commerce and e-service. • Used LLMs to automatically classify user complaints and create Paretos of issues to be resolved. • Developed Dashboard and Framework that automated the QC Story Problem-Solving Methodology and is capable of doing Root Cause Analysis and Problem Identification in real-time by automatically reading, classifying user feedback and developing Paretos from customer surveys. • The classified customer feedback was automatically dispatched for the appropriate teams for corrective action. • Methodology can be used to monitor any KPI and receive input from structured and unstructured data. • Created Key KPIs for e-commerce platform and used the above framework to provide insights to VP level stakeholders. • Developed Bot Attack Detection Framework which analyses 11 million records on average in real time and generates a list of possible Bot attacks. The methodology used was evaluated and submitted for patent by Dell Legal. • Major improvements in the root cause analysis capabilities of 5 e-commerce dashboards. • Used Machine learning and big data stored in Hadoop to analyze and find root causes of several Dell issues. • Managed the Projects of implementing analytics for Dell Digital Locker and Dell Identity including KPI development. • White paper with upgrade recommendations for Dell's analysis technologies (Spark, H2O, MS Fabric).
+Consulting Project to develop Neural Networks to understand product descriptions scraped from websites and compare the client's price with the competitors' for a company in São Paulo. +Developed research on using Machine Learning to do Time-Series predictions such as forecasts on sales, stock prices, material requirements and other applications. +Improved existing Auto Machine Learning algorithms for hyper-parameter tuning having developed methods that perform better than Bayesian Optimization and random search. +Tested over 300 configurations of different regressors to predict sales of Italian retail chain with over 140 stores. The results can be seen at https://rodrigopcoelho.shinyapps.io/AlgBenchDash/
- Master's in Informatics - Data Science Track in Lugano Switzerland - Exchange Student at Politecnico di Milano from 9/2017 to 9/2018 - Acquired data mining skills in Python, R, Knime, and MATLAB. See some projects in the Education Section.