Microsoft Certified · PL-300 · ITIL 5 Foundation

Christian S. Calvo

Power BI data analyst with three years of industrial laboratory experience, Microsoft PL-300 certification, and ITIL 5 Foundation certification. I build analytics and reporting workflows around LIMS and operational data using dimensional models, DAX, Power Query, SQL, Python, and management dashboards. My hands-on StarLIMS experience includes sample-lifecycle workflows, data integrity, reporting, and first-line troubleshooting, supported by working knowledge of production support, data synchronization, API authentication, QA/UAT, incident and problem analysis, and controlled-change practices.

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Location Phoenix, Arizona
Email christianscalvo@gmail.com
Phone 520-660-7884
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Target Roles Power BI Data Analyst · Business Intelligence · Operations & Systems Analytics

Professional Profile

Business intelligence and operational systems

Microsoft-certified Power BI data analyst with hands-on experience in industrial laboratory operations, StarLIMS, production-support reporting, KPI design, dimensional modeling, and executive communication.

My work focuses on turning operational and financial data into reliable semantic models, interactive dashboards, repeatable analytical workflows, and practical recommendations. I also apply ITIL-informed incident, problem, change, and continual-improvement practices when investigating data and workflow issues.

Service Management Certification

ITIL Foundation Certificate in IT Service Management (Version 5)

Incident Management · Problem Management · Change Enablement · Service Value System · Continual Improvement

Earned July 2026

Core Toolkit

Technical Skills

Business Intelligence

  • Power BI Desktop
  • Power BI Service
  • DAX and Power Query
  • Semantic models and interactive dashboards
  • KPI design
  • Executive reporting

Data, Modeling, and Automation

  • SQL
  • Snowflake
  • Python and pandas
  • Excel
  • ETL and star schemas
  • Fact and dimension tables
  • Time intelligence and data validation
  • LaTeX documentation

Operational Systems

  • StarLIMS (hands-on)
  • Laboratory workflows
  • Analytical testing data
  • Production-support reporting
  • Data-integrity controls
  • LIMS platform concepts: LabWare, Dotmatics, and Benchling

Production Support and Integration

  • ITIL incident, problem, and change practices
  • Data synchronization and scheduled jobs
  • API authentication and tokens
  • Log analysis
  • QA/UAT support
  • Controlled deployment concepts

Platform Familiarity

  • SQL Server, PostgreSQL, and Amazon Redshift
  • Elasticsearch and AWS S3
  • Grafana and Linux
  • Git and Jenkins
  • Kafka

Career History

Professional Experience

Laboratory Technician III

Freeport-McMoRan · Miami, Arizona

April 2023 – Present
  • Perform analytical testing and laboratory operations supporting metallurgical processes, production decisions, quality requirements, and continuous plant operations.
  • Serve as a key StarLIMS user supporting sample-lifecycle execution, data integrity, reporting requirements, workflow documentation, and first-line troubleshooting.
  • Analyze laboratory and production-support data to identify turnaround-time trends, SLA performance, backlog indicators, late-sample severity, re-runs, and workflow bottlenecks.
  • Develop Power BI dashboards and KPI logic for sample volume, average turnaround time, on-time performance, pending workload, re-run rate, and operational stability.
  • Structure StarLIMS and Snowflake data into analysis-ready datasets aligned with laboratory workflows, reporting definitions, and management requirements.
  • Build dimensional models, reusable DAX measures, and Python validation workflows for interactive filtering, period comparisons, drill-down analysis, and consistent KPI calculation.
  • Investigate data discrepancies, delayed or missing results, reporting inconsistencies, and workflow interruptions by tracing source records, process steps, and downstream outputs.
  • Use structured, ITIL-informed troubleshooting and documentation practices to assess impact, capture evidence, communicate workarounds, and support controlled operational changes.
  • Maintain instrument accuracy and data integrity through recalibration, drift correction, quality checks, documentation, and time-sensitive testing prioritization.

Private Tutor

Physics, Mathematics, and Chemistry · Málaga, Spain

September 2020 – February 2023
  • Tutored high school students in quantitative subjects while adapting instruction to individual learning needs and academic objectives.
  • Explained complex concepts and structured problem-solving methods clearly while developing targeted lessons and practice materials.

Selected Work

Featured Analytics Projects

Power BI · Python · DAX · Operations Analytics

Mining Laboratory Performance Dashboard

Built an end-to-end operations analytics solution for sample workload, turnaround time, SLA compliance, re-runs, pending samples, lateness severity, and bottleneck analysis.

  • Designed a star schema covering samples, dates, instruments, technicians, areas, departments, and SLA rules.
  • Created reusable KPI measures and dynamic year-over-year versus year-to-date comparison logic.
  • Built Python workflows to validate outputs and generate repeatable management insights.
View case study

Power BI · DAX · Budget Analysis · Financial Reporting

Multi-Entity Financial Consolidation Dashboard

Consolidated transaction and budget data across six campground entities into a standardized reporting model with aligned accounts and reusable business logic.

  • Developed KPIs for revenue, gross profit, operating expense, net income, margin, and budget achievement.
  • Created MTD, YTD, prior-year, year-over-year, and selected-period DAX measures.
  • Designed Budget-versus-Actual reporting by entity, account, category, customer, and period.
View case study

Additional Work

Analytics and Reporting Projects

Laboratory KPI Reporting System

Integrated Snowflake, Python, Power BI, and LaTeX into a repeatable workflow for KPI validation, management review, and executive reporting.

Monthly Composite Analyte Forecasting Tool

Developed a forecasting and anomaly-detection workflow to estimate expected analyte ranges and flag deviations for review.

LIMS Data Enablement

Supported StarLIMS data integrity, workflow documentation, reporting access, inventory concepts, and barcode-enabled process-improvement prototypes.

Working Approach

Analytics and Operations Capabilities

  • Translate business and operational questions into measurable KPIs, reporting requirements, dimensional models, validation rules, and dashboard designs.
  • Determine whether reporting logic belongs in source SQL, Power Query transformations, calculated columns, or reusable DAX measures.
  • Trace data issues across source records, transformations, synchronization points, scheduled processes, interfaces, and downstream reports.
  • Apply incident, problem, and change-management concepts to prioritize business impact, document evidence, test corrections, and verify recovery.
  • Support QA/UAT through representative test data, expected-result validation, defect documentation, auditability, and controlled-change principles.
  • Communicate technical findings through clear visualizations, concise summaries, operational context, and practical recommendations.

Education

Academic Background

Electrical Engineering Coursework

Universidad de Málaga · Málaga, Spain

207/240 ECTS Completed

High School Diploma

IES Leopoldo Queipo · Melilla, Spain

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