Machine Learning based Monsoon Forecasting and Drought Risk Assessment system using Indian climate data, Random Forest classification, state-wise rainfall analytics, and interactive Streamlit visualization.
Power BI Dashboard analyzing rainfall impact on agricultural productivity in India (1966-2017)
See reports of amount of rainfall measured at a station by month.
Reproducible hydrology analytics pipeline for rainfall aggregation, QA/QC, IDF curves, runoff modeling, and decision-ready reporting.
Exploratory data analysis of historical rainfall patterns in India to uncover trends and generate insights relevant to agriculture.
Tableau-Rainfall-Analysis-Dashboard
Rainfall Pattern Analysis using Simulated Annealing Enhanced Fuzzy C-Means Clustering with Davies-Bouldin, Silhouette and Xie-Beni validation metrics.
The local rainfall data is not consistently accessible, so I've been using CHIRPS data. But, I'm sick of calculating rainfall manually, so I made this one. Only works with CHIRPS rainfall data (for now).
An interactive Q&A system that extracts actionable insights from agricultural data (1997–2014). It combines efficient EDA, a rule-based query engine, and a Gradio interface to answer questions on crop yields, rainfall, and production. Built in Jupyter Notebook with a modular, extensible pipeline.
Event-based ML framework analyzing structural morphology of rainfall events in Pakistan (1981–2024). Segments 47K+ dekadal records into 4,563 events, discovers 7 rainfall typologies via GMM clustering, detects a 1996 regime shift with PELT, and classifies typologies with 96.6% accuracy (Random Forest).
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