Sushant Sur

Designed and implemented scalable ETL/ELT pipelines with Databricks and PySpark and built GenAI RAG chatbot and automation, driving marketing-led FD growth of ₹50 crore and reducing support queries by 55%.

Architected an SMS engine for entity extraction to improve segmentation accuracy by 10% and conversion by 5%, and implemented CI/CD with security scanning to reduce deployment time and risks.

Managed GitLab CI/CD pipelines and enforced pre-production security checks to reduce deployment failures by 10% while optimizing SQL queries and analytics workflows.

Built a logistic-regression risk assessment system with 82% precision and 80% recall, deployed on AWS SageMaker with CircleCI and automated retraining via Airflow to reduce manual effort.

Built a churn prediction model reducing customer churn by 8% and designed an IoT streaming ingestion pipeline using Kafka to MongoDB with Dockerized deployments achieving 85% uptime with autoscaling.

Analyzed contract variances and produced financial reports and visualizations in Tableau while extracting and transforming data via SQL and managing ETL pipelines in SSIS.

Performed cash reconciliations and GL variance analysis, posting corrective entries and supporting remote transitions for TechOps to improve financial accuracy and controls.

Completed a Master of Science in Machine Learning and Artificial Intelligence focusing on advanced ML and AI techniques and applications.

Completed a Post Graduate Program in Machine Learning and Artificial Intelligence covering practical and applied ML/AI projects and tools.

Earned a Master of Business Administration with a specialization in Finance focusing on financial analysis and managerial finance.