Final-year B.Tech IT student at Walchand Institute of Technology, Solapur — building end-to-end ML systems across computer vision, predictive analytics, NLP, and unsupervised learning.
Every project here goes through the full lifecycle: data → model → deployment → something you can actually open and use.
- Actively seeking Data Science / ML / Analytics internships and roles
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Production-grade ResNet-inspired CNN trained from scratch on CIFAR-10. Residual skip connections, GradCAM interpretability, mixed-precision training, and a full multi-page Streamlit app with batch inference.
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Regression pipeline comparing PyTorch ANN vs XGBoost vs RF vs SVR on 9,568 sensor readings. XGBoost hits R²=0.97, MAPE=0.50%, RMSE ~3MW — under 1% relative error on a ~454MW output.
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SmartCart Customer Segmentation
Unsupervised ML pipeline on 2,240 e-commerce customers. PCA + KMeans vs Agglomerative Clustering with Silhouette Score and auto elbow detection — producing 4 named segments with targeted marketing strategy.
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Binary classification pipeline (Healthy vs. High Risk) with explicit focus on Recall and ROC-AUC — because a missed at-risk patient costs more than a false alarm. XGBoost feature importance maps top clinical drivers.
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Full-stack AI chatbot replacing static loan forms with a 10-step conversational interface. Custom 8-parameter scoring engine produces an instant eligibility report with EMI estimate and personalized financial tips.
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More coming... Currently building:
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Open to Data Science · Data Analyst · ML Engineering roles
Let's build something worth deploying.