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EY (Ernst & Young)

Data Analyst Intern

EY (Ernst & Young)

·

Jul 2025 – Sep 2025 (3 mos)

Domain
Professional
R²=0.87
Model Accuracy
13+
KPIs Automated
95%
Interoperability

1 / Challenge Context

The Alcobev domain struggled with unpredictable cash flow patterns due to siloed data sources and manual KPI tracking. The lack of a unified predictive model led to inefficiencies and delayed decision-making across multiple business units.

2 / Strategic Implementation

Engineered a robust forecasting system leveraging FastAPI for the backend and advanced ML pipelines powered by XGBoost and LightGBM. Standardized data preprocessing steps and built a flexible architecture to allow cross-domain validation and rapid deployment of new models.

3 / Quantified Impact

Automated 13+ critical KPIs and achieved an R² accuracy of 0.87. The universal engine reached 95% interoperability, successfully validating across 4+ business domains and significantly streamlining predictive operations.