DEEPANSHU SHIMAR
B.Tech CSE (AI & ML) graduate with internship experience at NIT Warangal & DRDO. Skilled in Python, PyTorch, scikit-learn & LightGBM, building AI solutions in forecasting, classification & computer vision.
Sonipat
< 1 year of work experience
Aug 20255 mosDec 2025
Remote
Built an end-to-end ML pipeline for crop-yield forecasting across 572 Indian districts, leveraging large-scale geospatial datasets from NASA POWER, MODIS, and SoilGrids.
Developed and optimized a LightGBM model achieving R² = 0.906 and MAE = 17.65 kg/ha, with training approximately 40× faster than a deep neural network.
Performed feature engineering, feature-importance analysis using SHAP, and error profiling to improve model interpretability and performance.
Worked with Python, PyTorch, scikit-learn, and LightGBM to build scalable and production-oriented ML solutions.
Jun 20253 mosAug 2025
Delhi, India
Developed and evaluated six machine learning classifiers for toxic-gas identification using multi-sensor chemical data.
Achieved 95.02% classification accuracy and an exceptional ROC-AUC of 0.9965 using XGBoost.
Performed model evaluation and comparison to identify the best-performing classifier for reliable gas detection.
Exported trained models in PKL and ONNX formats for potential integration into real-time drone and embedded-system applications.
DEEPANSHU’s AI Stack
Education
Bachelor of Technology - BTech, Computer Science AI ML
Maharshi Dayanand University (MDU), Rohtak
20224 yrs2026
12th, Non medical
DAV Multipurpose Public School - India
20211 yr2022
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