Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.

Automate the process of building a pricing scraper with Python and Crawlbase

Summer Project- Reinforcement Learning

Dynamic pricing for launching a pushup feature

End-to-end machine learning pipeline for predicting Airbnb listing prices in Milan using geospatial analysis, nested cross-validation, and feature engineering. Integrates multiple data sources with Milan's neighborhood boundaries to identify pricing drivers and market opportunities. XGBoost model R² = 0.587 with comprehensive SHAP interpretability

Code from CAS book and non-life insurance pricing