Freelancer profile translated to English.
Back to original languageAbout Pricilla
Data Analyst specializing in Business Intelligence, data quality, and decision support reporting.
I support business teams in transforming their data into decision-making tools. With experience at Crédit Mutuel Alliance Fédérale and Orange Middle East & Africa, I work on data quality, performance, regulatory reporting, risk analysis, and activity monitoring issues.
I have notably contributed to:
• Ensuring the reliability of regulatory reports through over 200 SQL and Python checks on banking and risk data.
• Automating activity monitoring via Power BI by transforming dozens of Excel sheets into interactive dashboards.
• Designing KPIs and monitoring indicators to support business teams in their decisions.
• Identifying and analyzing data anomalies to improve their quality and reliability.
Services offered:
✓ Creation of Power BI dashboards and KPIs
✓ Data analysis and decision support
✓ Reporting and automation
✓ Data control and quality
✓ Advanced SQL and query optimization
✓ Performance analysis and activity monitoring
Technical skills:
Power BI (DAX, Power Query), SQL, Python (Pandas, Scikit-Learn), R, SAS, Vertica, Excel.
My strengths:
• Dual Data & Business expertise
• Strong analytical and synthesis skills
• Understanding of business and regulatory challenges
• Ability to bridge the gap between business and technical teams
• Autonomy, rigor, and adaptability
Available for assignments in Data Analytics, Business Intelligence, Data Quality, Reporting, or Data & Risk.
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 50km), Toulouse (up to 10km), Nantes (up to 10km)
Experience
- CREDIT MUTUEL ALLIANCE FEDERALEData Project Manager / Data AnalystBANKING AND INSURANCESeptember 2024 - September 2025 (1 year)Paris, France- Ensuring the reliability of ECB regulatory reporting: +200 tests, acceptance testing (SQL, Python) on over 500k lines of banking and risk credits- Gathering business requirements: deployment of risk KPIs to improve monitoring- Predictive model for 2050 flooding (LightGBM): identification of 3 risk zones- Simulation of climate risk scores: measurement of exposure of real estate portfolios- Integration of a data visualization tool: strengthening analytical capabilitiesProduction of regulatory reporting (Loantape) within the framework of Basel III for monitoring banking credit risk, within the Data Office team.KPIs / Deliverables:• Data completeness rate• Detected anomaly rate• Climate risk score (drought and floods)• Thesis on Predictive model for 2050 flooding (LightGBM): identification of 3 risk zones
- TSE JUNIOR ETUDESData ConsultantCONSULTING AND AUDITSDecember 2024 - January 2025 (1 month)Toulouse, FranceAchievements:- CSR market analysis and strategic watch: identification of 7 high-demand professions in the environmental sector- Identification of a high-potential market: highlighting an estimated €100M+ in unmet business needs- Definition of supply/demand KPIs: structuring key indicators to guide client strategy- Project management: production of a strategic report used in financing applications- Drafting summary deliverables: presentation of analyses to the clientCarried out a market study for a startup specializing in environmental consulting, as part of preparing financing applications with banking institutions. Mission carried out in pairs.KPIs / Deliverables:- Supply of consultants in CSR and environmental issues- Demand from companies and institutions for CSR and environmental consultants- Strategic deliverable
- ORANGE MIDDLE EAST & AFRICA (OMEA)Risk Data AnalystTELECOMMUNICATIONSApril 2023 - April 2023Issy-les-Moulineaux, FranceAchievements:- Transformation of 80+ Excel files/pages into 2 Power BI dashboards: significant improvement in data readability and accelerated decision-making- Definition and automation of risk and credit KPIs (DAX): improved analysis reliability and standardized monitoring- Animation and project monitoring in Agile mode: organization of weekly business workshops and progress tracking- Backtesting of a Probability of Default (PD) model in Python: improved model performance and robustnessFollowing the launch of a microcredit offering in Africa, management wanted a consolidated view of performance and associated risks to guide decision-making. Within a cross-functional team of over 10 employees.Production KPIs:- Number of loans per period (monthly, annual)- Breakdown by loan type (microcredit / others)- Production volume (funded amounts)Credit risk KPIs:- 30-day and 90-day default rate after due date- Total amount of unpaid loans- Monitoring of monthly evolution of defaultsDeliverables:- 2 Power BI monitoring dashboards (performance & risks)
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Education
- Master Econometrics and StatisticsToulouse School of Economics2025Master Économétrie et Statistique
- Bachelor's Degree in EconomicsToulouse School of Economics2022Licence Economie