Ayush Patidar is a Senior Data Scientist based in Bengaluru with 7 years of experience building production-ready ML solutions for gaming and FMCG/CPG businesses. He has delivered demand-forecasting regression systems using XGBoost and LightGBM, and applied deep learning techniques—like entity embeddings in PyTorch and snapshot ensembling on ResNet-50—to extract richer features and reduce model variance. At MPL he progressed through multiple senior data roles, shipping adversarial validation pipelines to improve model generalization in real-world deployments. An open-source contributor to Featuretools early in his career, he combines hands-on engineering with a pragmatic focus on interpretability and operational robustness.
Contributions:4 PRs, 8 pushes, 1 branch in 1 month
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