Mohsin Pathan

I’m a Computer Engineering graduate from SPPU (CGPA 7.44/10) with hands-on experience in Python, Flask, and machine learning, plus published research on ML-based pest outbreak prediction for Kharif crops (ICRTSET-2026). I enjoy turning messy real-world data into reliable pipelines, models, and user-ready applications.

In my KrishiSetu project, I built an ML system to predict pest outbreaks across Maharashtra districts and designed a data pipeline (outlier detection, feature encoding, normalization) that improved model input quality by ~40%. I trained and benchmarked Random Forest, XGBoost, SVM, and LSTM models, then developed a Flask backend for real-time predictions and a web dashboard—supported by a research paper accepted for ICRTSET-2026. I also strengthened my practical workflow through a Python Programming internship (Codsoft) and data annotation/data labeling experience to support ML model training.