Aimée Malaka
Business Analyst · Data Consultant
Turning business challenges into data-driven decisions.
I design analyses, tools and decision-support systems that turn complex business problems into concrete action.
A hybrid profile between business and data.
Passionate about decision-making, analysis and useful data products. Looking for opportunities in Business Analysis, Data Consulting and product / data environments.
Business, marketing & data — a cross-functional read of every topic.
Turning a business problem into concrete, measurable action.
Designing analytical tools that genuinely help teams.
Experience & education
- 2023 — 2025Master's in AI & Data AnalystJUNIA — Lille
AI project lead. Specialisation in data, transformation and performance management.
- 2024Business Analyst ConsultantCapgemini · AXA
Analysis and formalisation of business needs (framing workshops, BPMN, User Stories). Coordination across business, IT and data teams. KPI monitoring and impact studies. Contributed to process optimisation — 20% reduction in processing times. Active in Agile/Scrum rituals (backlog, sprints, prioritisation) via Jira.
- Apr 2024 – Sept 2024Data Analyst – Power BIMezzo
Analysis of large datasets (>100,000 rows) using SQL and Python (Pandas, NumPy). Built Power BI dashboards (DAX, Power Query) and Looker Studio for performance monitoring. Automated reporting — saving 10h/month and improving data reliability.
- 2022Coordination & OperationsCOJT
Customer data analysis and behavioural segmentation. Built Looker Studio dashboards for performance tracking. Business decision support through clear, actionable indicators.
- 2019 — 2022Master's in Direct & Digital MarketingIAE Lille
Strategic marketing, digital, analytics and data-driven marketing.
- 2017 — 2019DUT Info-CommunicationUniversity of Lille
Communication, digital media and digital culture.
Products & analyses built for decisions.
A selection of projects designed as products — each one solves a precise business problem.
CréditScore AI
Predicting default risk before credit is granted.
Credit-scoring model trained on 396,000 loans (XGBoost, AUC=0.70) reducing defaults by 15%. Class imbalance handling (SMOTE), interpretability via SHAP, deployment FastAPI + Streamlit.
A business × data foundation.
- Business Analysis
- KPI Analysis
- Process Improvement
- Stakeholder Management
- Requirements gathering
- Impact studies
- Python
- SQL
- Machine Learning
- XGBoost
- SHAP
- SMOTE
- NLP
- FastAPI
- Pandas
- NumPy
- Data Wrangling
- Statistics
- Power BI (DAX · Power Query)
- Looker Studio
- Streamlit
- DuckDB
- Excel
- Git
- GitHub
- VS Code
- Jira
- Problem Solving
- Communication
- Business Thinking
- Structured Thinking
- Agile/Scrum
- BPMN
- User Stories
- Jira
- Business–IT coordination