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University of Waterloo
- Toronto, Ontario
- in/neshat-sharbatdar
Highlights
- Pro
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RiskLens
RiskLens PublicAgentic AI risk intelligence system for banks — multi-agent LangGraph pipeline monitoring credit, market, and operational risk with Basel III compliance and human-in-the-loop review
Python
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DocuLens-RAG-platform
DocuLens-RAG-platform PublicProduction-grade RAG platform for legal, financial & insurance documents - BERT reranking, VLM extraction, FastAPI, Docker, ChromaDB
Python
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Financial-Fraud-Detection-System
Financial-Fraud-Detection-System PublicFraud detection on 590K transactions — AutoEncoder anomaly detection vs. XGBoost/LightGBM ensembles, with SHAP explainability and MLflow tracking.
Jupyter Notebook
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Customer-Churn-Prediction-Pytorch
Customer-Churn-Prediction-Pytorch PublicEnd-to-end customer churn prediction using PyTorch, XGBoost, SHAP, Lime, Optuna & MLflow — with business ROI analysis and FastAPI serving.
Jupyter Notebook
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Clickbait-Spoiling
Clickbait-Spoiling PublicThis project addresses the two subtasks from the SemEval-2023 Clickbait Spoiling Challenge: Task 1: Spoiler Type Classification and Task 2: Spoiler Generation
Jupyter Notebook
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Paint-Pricing-Optimization
Paint-Pricing-Optimization PublicPrice optimisation for retail paint SKUs using OLS elasticity, XGBoost demand modelling, quasi-experiment, and A/B test design. Identifies +$1.83M–$5.02M annual gross margin opportunity across a 30…
Jupyter Notebook
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