Multiclass ML model to predict Workers' Compensation Claim Injury Types | NOVA IMS 2024/25
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Updated
Jun 9, 2026 - Jupyter Notebook
Multiclass ML model to predict Workers' Compensation Claim Injury Types | NOVA IMS 2024/25
Customer segmentation for Ready, Steady Ride using K-Means (k=4) across weather, behavior and time perspectives - NOVA IMS ML project
10-month sales forecasting for SIEMENS Smart Infrastructure | XGBoost RMSE 15.54% | ARIMA/SARIMA market indicators | CRISP-DM | NOVA IMS 2025
Hourly ride demand forecasting (weather + calendar) — NOVA IMS ML Bachelor's project
Customer segmentation for ABCDEats using advanced clustering (K-Means, SOM, Hierarchical) — NOVA IMS Data Mining 24/25
NLP pipeline for financial tweet sentiment classification | RoBERTa, BERT, DistilBERT | Macro F1: 78.8% | NOVA IMS 2024/25
Customer segmentation for a food delivery platform | K-Means, Mean-Shift, Hierarchical Clustering | 4 segments | CRISP-DM | NOVA IMS 2024/25
RAG chatbot for Fidelidade insurance agents | GPT-4o-mini + Azure OpenAI | 6 languages | Gradio UI | CRISP-DM | NOVA IMS 2025
Business Process Optimization for Super Trend – from AS-IS to TO-BE models using Bizagi Modeler. Implemented simulation, analysis and redesign to improve delivery efficiency and ROI through Zoho One system integration.
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