Lisbon, Portugal · Open to opportunities across Europe
Turning operational complexity into clear, measurable decisions.
Business Operations, Data Analytics and Risk professional with 2+ years in high-volume platform operations, combining rigorous analysis, operational governance and cross-functional execution to improve decision quality, process reliability and measurable business outcomes.
- Daily risk decisions
- 1,000+
- Quality performance
- 95%+
- Career progression
- G2 → G3
01 / Featured case studies
Selected analytical work.
Two decision-ready case studies translating complex operational data into retention, risk and governance priorities.
Business Analytics · 2026
Case Study 01
Customer Churn Analysis
From 7,043 customer records to a prioritized retention roadmap.
The analysis combines Python, SQL validation, business segmentation and financial sensitivity modeling to identify where churn concentrates, quantify recurring-revenue exposure and define an experiment-ready 90-day action plan.
Recurring-revenue attrition was spread across customer, contract, billing and service variables.
Cleaned 7,043 records, validated SQL definitions and built transparent operational segments.
Month-to-month, early tenure, Fiber optic and Electronic check signals concentrated risk.
A 1,138-customer priority segment captured 38.31% of churn and $61.36K observed lost MRR.
- Customers analyzed
- 7,043
- Observed churn
- 26,54%
- MRR exposure
- $139K
- Annualized exposure
- $1.67M
Risk Analytics · 2026
Case Study 02
Platform Enforcement Reliability Audit
From 359.85 million reported enforcement measures to a risk-based human-review and quality-governance framework.
The audit benchmarks five major platforms using harmonised EU Digital Services Act transparency reports, combining reproducible Python and SQL validation, automation and appeal analysis, and a transparent framework for prioritising quality assurance and human review.
Public DSA reports expose scale, automation and appeals, but not a ready-made QA operating model.
Harmonised 55 source tables, reconciled KPI views and preserved platform-specific caveats.
Automation exposure is high, while reversal outcomes and category risk vary materially.
A review-priority score links automation scale, appeal outcomes and severe-action exposure.
- Platforms benchmarked
- 5
- Reported measures
- 359.85M
- Automation exposure
- 85.24%
- Resolved reversal
- 43.66%
02 / Career overview
Resume
A concise record of operational impact, analytical capability and professional progression.
My experience sits at the intersection of business operations, risk and analytics: running high-volume decision workflows, strengthening process controls, designing SOPs and translating operational data into governance, retention and revenue-assurance action.
Global Operations Specialist
TikTok for Business · ByteDance · Lisbon
Workflow ownership & governance
POC responsibilities, SOP redesign, backlog governance, escalation architecture and operational training.
SQL, Python, Tableau & Excel
Data cleaning, KPI design, customer segmentation, validation and decision-ready executive reporting.
03 / Core expertise
Built for complex operating environments.
A practical toolkit for diagnosing risk, strengthening operational governance and helping stakeholders make better, data-driven decisions.
Business Analytics
Converting raw operational data into KPI frameworks, customer segments, executive narratives and decision-ready prioritization logic.
- SQL & Python analysis
- Tableau dashboards
- Revenue sensitivity modeling
Risk & Quality
Investigating ambiguous cases, applying policy consistently and designing controls that improve decision quality.
- Risk investigations
- Quality assurance
- Root-cause analysis
Process Governance
Building operating mechanisms that make ownership, escalation, service levels, controls and execution standards explicit.
- SOP & workflow design
- Backlog governance
- Escalation architecture
Stakeholder Operations
Aligning operations, policy, quality and partner teams around clear decisions, shared context and measurable follow-through.
- Cross-functional coordination
- Training & enablement
- Executive communication
04 / Certifications
Continuous, applied learning.
Formal training that strengthens my ability to pair operational judgment with modern analytical tools.
Issuer: Google / Coursera · 2026Completed
Google AI Professional Certificate
Applied training in generative AI, prompting, responsible use and AI-assisted workflows for professional productivity and decision support.
Verify credential
Issuer: Google / Coursera · 2026Completed
Google Data Analytics Professional Certificate
End-to-end analytical practice across spreadsheets, SQL, data cleaning, visualization, R and stakeholder communication.
Verify credential05 / Let's connect
Have a role, problem or project where operations and analytics need to work together?
I'm open to conversations about Business Operations, Data Analytics, Risk Analytics and operational excellence opportunities across Europe.