I build the Power BI and Fabric models that 500+ people use to run the business,
and lead the stakeholders, governance and data quality that make them trusted.
Mechanical engineer turned BI lead. I learned analytics on the plant floor, working alongside 40+ technicians with sensor data, MTBF, OEE and Lean Six Sigma, so I design data products around how operations really run, and I lead the change management that gets them adopted. Industries: manufacturing, consumer goods (CPG) and waste & recycling, across the UK and Latin America. Bilingual in English and Spanish.
02 Projects
Selected BI deliveries
Data flowIllustrative
Biffa · 2025 – Present · Led end to end
Enterprise Sales & Finance Semantic Model
500+active users
↑~$52Ksaved per year
↓20 → 5 minmodel refresh
Problem
Sales and Finance ran on 5+ siloed Excel processes (pipeline, revenue projection, rolling revenue, churn, contract health), with competing revenue definitions, including the ones used for bonuses.
Approach & impact
Approach
A galaxy-schema semantic model: contract, revenue and service facts from the central system, customer and CRM data from NetSuite, and HR data from Dayforce, with one agreed set of revenue definitions, row-level security and deployment pipelines. I led it from requirements through adoption.
Impact
One source of truth for every UK region, all sales channels, Finance and leadership; ~13,500 manual requests a year eliminated (~$52K); refresh cut from 20 to 5 minutes with more data. Nominated for Biffa's Diamond Awards.
Savings method: ~13,500 report requests a year × 6 minutes each × $39/hour average cost of the people requesting and processing them ≈ $52K (£40K) a year. The diagram is simplified.
Power BIDAXGalaxy SchemaNetSuiteDayforceRLS
Report interfaceIllustrative
BAT · 2022 – 2025
Change Request Selection Tool
↑200+ hrssaved per month
↓5 → 1 minper request
↓~10%fewer incorrect CRs
Problem
Global operations users raised 3,000+ SKU change requests a month and had to find the right type among 200+ CR types, taking ~5 minutes each, with wrong picks causing rework.
Approach & impact
Approach
A report with slicers for change type, data object and market that filters 200+ CR types into a table, highlights the best match and links straight to the form to raise it, following global master-data rules.
Impact
Selection time cut from ~5 to ~1 minute (200+ hours saved a month) and ~10% fewer incorrect requests; 3K+ views a month across five continents.
Hours method: 3,000+ requests a month × ~4 minutes saved each ≈ 200 hours a month. Master-data governance rules live in the filters, so the standard is enforced by design rather than by review. The interface shown is a simplified recreation with sample values.
Master DataSAP ECC/FioriData GovernanceUX for Data
MTBF run chartIllustrative
BAT · 2021 – 2022
Manufacturing Reliability & KPI Suite
↑6×packing-machine MTBF
↑65% → 71%OEE (target 70%)
12 lines80+ users
Problem
Frequent stops on the packing machines, the last step of the line, and no shared view of what drove downtime and waste across 12 production lines.
Approach & impact
Approach
A Power BI KPI suite on machine sensor data (stops, MTBF, OEE, waste), used by 80+ technicians, admin staff and factory leaders in Lean Six Sigma root-cause sessions run alongside 40+ factory technicians.
Impact
Packing-machine MTBF up from under 10 to 60+ minutes (6×); plant OEE from ~65% to ~71% over the year, beating the 70% target.
Sensor and stop data cleansed and modeled in SQL and Power Query, covering all 12 lines end to end, with MTBF measured on the packing machines as the final constraint. The chart uses sample data to show the shape of the improvement.
Power BISQLOEE / MTBFLean Six SigmaSPC
Visuals are simplified illustrations with sample data. No employer data is shown.
03 Experience
7+ years in BI · UK & Latin America
Biffa – Present · London, UK (Hybrid)
Senior Business Intelligence Analyst
UK waste & recycling services · Sales & Finance analytics
Led end to end the enterprise Sales & Finance semantic model in Power BI: a galaxy schema over NetSuite, Dayforce and contract data, now the single source of truth for 500+ active users across every UK region, all sales channels (field, telesales, e-commerce), Finance and leadership. Nominated for Biffa's Diamond Awards for this work.
Replaced 5+ siloed Excel processes (pre-sales CRM, revenue projection, rolling revenue, churn, contract-health checks), eliminating ~13,500 manual requests a year: ~$52K (£40K) in labor.
Show 3 more
Standardized revenue definitions (projected, rolling and the variants used for bonus calculations) with Sales and Finance leadership, so reporting and sales bonuses run on one agreed number.
Introduced Azure DevOps sprint delivery for the 8-person BI team, moving ad-hoc requests into a prioritized, visible backlog.
Own model governance (row-level security, deployment pipelines, refresh reliability); cut refresh time from 20 to 5 minutes while covering more data.
Power BIDAXMicrosoft FabricT-SQLAzure DevOpsData Governance
British American Tobacco (BAT) – · Southampton, UK
Business Intelligence Executive
Global Operations Data Management (ODM) · CPG manufacturer
Designed a Change Request selection tool that routes users to the right option among 200+ CR types, cutting selection time from ~5 to ~1 minute (200+ hours saved a month) and incorrect requests by ~10%.
Built Power BI SLA-compliance reporting for the global ODM team, covering 3,000+ SKU master-data change requests a month in SAP ECC/Fiori across five continents.
Show 3 more
Helped sustain the 99% master-data quality compliance target through monitoring and fast corrective fixes.
Designed and enforced SLA frameworks for global reporting processes, reducing delivery variability for cross-functional teams.
Delivered executive data storytelling for regional and global Continuous Improvement and Work Process Improvement (WPI) leadership.
Power BISAP ECC/FioriMaster DataData GovernanceSLA Frameworks
British American Tobacco (BAT) – · Caracas, Venezuela
Business Intelligence Engineer
Manufacturing plant · 12 production lines
Partnered with maintenance on root-cause analysis using Lean Six Sigma methods, raising packing-machine MTBF from under 10 to 60+ minutes (6×) and plant OEE from ~65% to ~71%, beating the 70% target.
Built an end-to-end Power BI KPI suite on machine sensor data (stops, MTBF, OEE, waste) for 12 production lines, used by 80+ technicians, admin staff and factory leaders.
Show 2 more
Automated data cleansing and transformation in SQL and Power Query, replacing manual production reports.
Worked day to day with 40+ factory technicians (line manager for about 20), embedding the KPI suite into shop-floor routines.
Power BISQLOEE / MTBFLean Six SigmaChange Management
ASIS Consulting – · Caracas, Venezuela
Business Intelligence Developer
BI consultancy · tax-consulting clients
Delivered Power BI solutions for 5+ major tax-consulting clients: financial modeling, tax and transactional reporting, with DAX time intelligence.
Show 2 more
Administered Power BI Service across client environments: workspace governance, deployment and user access.
Translated stakeholder requirements into scalable data models, working with the MySQL team to ensure data integrity.
Power BIDAXPower BI ServiceMySQLFinancial Modeling
Operated and maintained the lab's 3D printers, producing 6+ medical models a month (mainly jaw models) that doctors used to plan procedures and prosthetics.
Junior Project Engineer
Venezuelan Heavy Industry CA (VHICOA) · – · Bolívar, Venezuela
Details
Worked on 2–3 high-pressure vessel projects for the oil industry, each worth $30M+, to ASME, AWS and API standards: prepared and checked drawings, coordinated NDT and hydrostatic testing, and tracked materials, labor and progress in Excel.
OEEMTBFRoot Cause AnalysisLean Six Sigma MethodsLean ManufacturingLoss EliminationStatistical Process Control (SPC)Continuous ImprovementAdvanced Excel / Power Pivot
AI & Automation
Claude CodeMCP ServersAI-Assisted DevelopmentLLM Workflow AutomationPrompt Engineering
05 Education
Engineering foundation
Universidad Metropolitana – · Caracas, Venezuela
Bachelor of Engineering (B.Eng.), Mechanical Engineering
The engineering base behind my reliability (MTBF, OEE), process-improvement and manufacturing analytics work.