Austin Rodrigues

Data Scientist @Cardinal Health

US

Spearheaded development of an NLP-based product classification system using BERT embeddings and spaCy pipelines to automate tagging of over 500K+ SKUs, improving downstream inventory analytics and reducing manual tagging effort by 85%.• Built an automated anomaly detection model using Isolation Forest and LSTM on 15M+ supply chain records, reducing delayed shipments by 22% across key distribution centers.• Engineered ETL pipelines with PySpark and Airflow to process 15M+ daily records from Snowflake and S3; implemented robust data validation using Great Expectations, maintaining data quality SLA at > 96%.• Collaborated with DevOps to containerize ML models via Docker, enabling seamless CI/CD through Jenkins and MLflow; reduced deployment time by 60% and ensured rollback resilience in production environments.• Conducted A/B testing on pricing elasticity models across three regional markets; integrated uplift modeling using XGBoost and Bayesian optimization to identify optimal price thresholds, boosting margin by 6.4% on key medical products.• Partnered with cross-functional teams to define business KPIs and integrate Power BI dashboards linked to real-time Azure Synapse datasets, enhancing executive-level visibility on predictive risk alerts and forecasting trends.

KJ Somaiya College of Engineering, Vidyavihar

Bachelor of Technology - BTech, Electronics Engineering

Syracuse University School of Information Studies

MS in Applied Data Science

Agnel Polytechnic

Diploma, Industrial Electronics Technology/Technician

Sacred Heart High School & Junior College

Secondary School Certificate