Suraj Kumar

Data Science graduate with hands-on experience in Machine Learning, Deep Learning, Generative AI, and Data Analytics. Skilled in Python, SQL, Power BI, FastAPI, and building end-to-end ML, Computer Vision, and RAG-based AI applications through internships and real-world projects.

Data Science Intern - Deepspatial AI (Xploor Program)

(2025-01 - 2025-06)

• Developed a CNN-based plant disease segmentation model using EfficientNet and Transfer Learning on 100K+ agricultural images; achieved 88.44% accuracy
• Performed image preprocessing and augmentation using OpenCV and Albumentations to improve model generalization
• Applied hyperparameter tuning and cross-validation to optimize model performance
• Integrated geospatial analysis using QGIS for spatial visualization of disease patterns
• Built a FastAPI-based inference endpoint as part of the end-to-end disease detection pipeline

AI Project Intern - Infosys Springboard

(2024-11 - 2025-01)

• Built a credit underwriting risk assessment model on 101K+ loan applications using financial and demographic features
• Performed EDA, missing value imputation, outlier detection (IQR), and correlation analysis on financial datasets
• Applied Label Encoding, feature scaling, and feature engineering for predictive modeling
• Trained and evaluated Random Forest, Gradient Boosting, and CatBoost classifiers
• Evaluated performance using Accuracy, ROC-AUC, Precision, Recall, F1-score, and Confusion Matrix

B.Tech - Computer Science Engineering - Gaya College of Engineering (2021-12 - 2025-06)