Pushpinder S

AIML Engineer

HSBC

Nov 2025 - Mar 2026 • 4 mos

Delivered end-to-end Machine Learning, Predictive Analytics, and MLOps solutions for insurance and financial risk use cases. Architected and deployed scalable ML pipelines for data processing, model training, validation, deployment, and monitoring using Azure ML, Azure Synapse, and Databricks. Automated ML deployment workflows using Azure DevOps CI/CD and Docker, achieving approximately 90% reduction in operational costs. Developed credit risk and loan default prediction models using Python, SAS, Gradient Boosting, and Logistic Regression. Performed feature engineering, EDA, variable reduction, model validation, and statistical analysis to identify key credit risk indicators and high-risk borrowers. Implemented model observability and production monitoring using ARIZE and Azure services, enabling model performance tracking and proactive identification of model issues. Technologies: Python | SAS | Azure ML | Azure Synapse | Databricks | ARIZE | Azure DevOps | Docker | Gradient Boosting | Logistic Regression | MLOps

AIML Engineer

AIG

Aug 2025 - Nov 2025 • 3 mos

Developed and implemented scalable cloud-based Machine Learning and MLOps solutions for insurance analytics. Architected and deployed large-scale ML pipelines covering data processing, model training, validation, deployment, and monitoring using Azure ML, Azure Synapse, and Databricks. Automated ML deployment and operational workflows using Azure DevOps CI/CD and Docker containers, achieving approximately 90% reduction in operational costs. Developed model observability capabilities using ARIZE and integrated monitoring to track model performance, data quality, and production model health. Collaborated with cross-functional teams to integrate ML solutions into production environments and establish reliable model monitoring and lifecycle management. Technologies: Python | Azure ML | Azure Synapse | Databricks | ARIZE | Azure DevOps | Docker | MLOps | Machine Learning

AIML Engineer

ARIA Technologies

Dec 2024 - Jun 2025 • 6 mos

Delivered end-to-end Healthcare Analytics, Business Intelligence, and Predictive Analytics solutions to support operational, financial, and strategic decision-making. Developed 30+ customized real-time dashboards using Power BI and Tableau, covering key business, operational, and financial KPIs. Performed data preparation, analysis, KPI development, visualization, automated reporting, and stakeholder communication. Developed healthcare time-series forecasting solutions for Length of Stay (LOS), inpatient volumes, admissions, discharges, and hospital cash. Applied SARIMA, Holt-Winters, and SNaive models with statistical analysis using ADF, ACF, and PACF. Improved forecasting accuracy by reducing MAPE from approximately 30% to 5%, supporting more reliable budgeting, resource allocation, and operational planning. Technologies: Python | R | SQL | Power BI | Tableau | SARIMA | Time-Series Modelling | Statistical Modelling | Business Intelligence