Bilingual Data Analyst (FR / EN) specializing in transforming complex operational, financial, and energy-related data into actionable business insights.
I work at the intersection of data analytics, operational performance, and decision support, helping organizations monitor performance, optimize processes, and make data-driven decisions.
I specialize in transforming complex operational, financial, and energy-related data into actionable business insights. My expertise lies at the intersection of data analytics, operational performance, and decision support.
- 🎓 International Rigor: Trained and certified by Giesecke+Devrient (Germany), operating under high global standards for data quality and process rigor.
- 🏦 Financial Impact: Specialized in Credit Risk modeling, transitioning organizations from reactive grading to predictive risk frameworks.
- 🧪 Corporate Simulations: Advanced data analytics experience with Deloitte Australia and British Airways.
- 🌍 Global Mindset: Comfortable working in international, cross-functional environments with both technical and executive stakeholders.
- Data collection, structuring, cleaning & validation
- KPI definition & performance monitoring
- Statistical & descriptive analysis
- Financial & operational reporting
- Anomaly detection & root cause analysis
| Category | Tools & Technologies |
|---|---|
| Analysis & Languages |   Pandas NumPy Scikit-Learn |
| Visualization & BI |   Executive Dashboards |
| Specialized Skills | Credit Risk Scoring KPI Definition Root Cause Analysis ML Modeling |
| Version Control |   |
- Analytical thinking & business insight
- High autonomy & rigor
- Clear communication with technical & non-technical stakeholders
- Strong numerical reasoning
The Business Problem: The internal default rate reached 13.82%, a 176% gap against the industry benchmark, threatening $435M in Assets Under Management (AUM).
The Solution: Developed a predictive risk framework using SQL, Python, and Power BI to move from static grading to a machine learning-driven scoring engine.
Key Achievements & Impact:
- 💰 Capital Preservation: Identified that a marginal 1% reduction in default rate saves $4.36 Million annually.
- 🔍 Risk Leakage Detection: Isolated drivers causing a 22.3% surge in defaults within a single fiscal year.
- 📊 Strategic Optimization: Realigned portfolio mix to stop "Prime" borrower cannibalization and improve the LTV-to-CAC ratio.
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Field Service Engineer – Giesecke+Devrient (Germany)
Data collection, performance indicators, reporting, and root cause analysis in highly regulated industrial environments -
Technical Manager – Mada Fine Stone
Operational & energy performance analysis, dashboarding, and data-driven optimization -
Technical Engineer – Mada Fine Stone
Data structuring, quality improvement, and operational reporting support
- 💼 LinkedIn: linkedin.com/in/deraina-cani/
- 📧 Email: antsasoaderaina@gmail.com
- 🟢 WhatsApp: +261 34 09 821 54
📌 I’m particularly interested in data analysis roles focused on performance analytics, reporting automation, operational efficiency, and energy or financial data.