You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
AI early-warning system for Indian infrastructure projects: predicts cost & schedule overrun risk from MoSPI PAIMANA data using XGBoost, SHAP explanations, and conformal confidence intervals. Built for SIH 2026 (PS SIH26103)
The Annual Survey of Industries (ASI) is a crucial economic survey run under the MoSPI . My objective was to optimize the ASI process by introducing data extraction and machine learning techniques powered by Python. By doing so, I aimed to streamline data collection, reduce errors, and expedite the analysis.
An EDA and Unsupervised Learning pipeline using KMeans clustering to segment household demographics into Rural and Urban categories based on transaction behavior and spending patterns.