Mayank Bambal

WORK HISTORY

EDUCATION

SKILLS

ABOUT MAYANK BAMBAL

Results-oriented Data Scientist with 5+ years of experience driving the full ML lifecycle; from feature engineering and advanced statistical modeling (regression, tree ensembles, deep learning) to scalable deployment and automated retraining on Azure/Databricks.My expertise is in building, deploying, and monitoring production-grade models using Python (scikit-learn, TensorFlow/PyTorch), XGBoost, Airflow, dbt, and Kubernetes. I specialize in MLOps, including robust model monitoring, data drift detection (Evidently, Grafana), CI/CD for ML, and building automated retraining pipelines.Proven track record of delivering high-impact results:1. Churn Prediction: Led the development of a churn-prediction model (GBDT + Logistic Regression) for 5.8M subscribers. A/B testing of its uplift-targeted offers drove +$15.2M/year in revenue and a +2.0% absolute retention lift.2. Deep Learning & CV: Deployed computer-vision (CNN) quality checks to four plants, reducing false accepts by 29% and scrap by 11%. Optimized edge inference with TorchScript/ONNX, increasing throughput by 16% and cutting compute costs by 28%.3. NLP & LLMs: Migrated a legacy pipeline to a fine-tuned BERT transformer (Hugging Face/PyTorch), boosting classification accuracy by 11%. Architected a retrieval-augmented Q&A (RAG) system using Azure AI Search.4. MLOps & Data Engineering: Built Spark-based ELT pipelines on Databricks, standardized features in a Databricks Feature Store, and tracked experiments with MLflow.I hold a B.Tech in Mechanical Engineering from IIT, Indore and Master of Science in Business Analytics & Information Management at Purdue University\'s Daniels School of Business.Seeking challenging opportunities to apply my deep learning and MLOps skills to solve complex business problems at scale.