Debanu Saha

Designed and automated end-to-end AWS provisioning with Terraform and GoCloud, reducing provisioning time by 40% and improving infrastructure reliability by 25%; defined GitHub Actions CI/CD for testing and deployment, cutting manual efforts by 50%.

Designed Python backend automation for GoCloud provisioning workflows on AWS (EC2, VPC, IAM), reducing end-to-end provisioning time by 40%. Built REST APIs and CI/CD pipelines (GitHub Actions) with Terraform Cloud/IaC and automated Robot/Selenium testing, improving monitoring/verification efficiency by 30% and overall provisioning performance by 25%.

Led data architecture and CRM integration for predictive analytics on Azure, implementing Databricks and Data Factory to cut data processing time by 30% and improve forecast accuracy to 90%.

Architected an Azure Data Lake platform for flight and engine telemetry analytics, using Azure Data Factory to ingest multi-provider data and reduce downstream query latency by 30%. Built Python ETL and data workflow CI/CD, implemented data quality and monitoring (reducing manual ops by 50%), and developed engine-health REST APIs and authorization services adopted by 12+ internal teams.

Architected a modular Azure data lake and CI/CD pipelines using Terraform and Azure DevOps to centralize aviation data, reducing manual processing by 50% and improving scalability for analytics.

Developed ML and statistical forecasting models in Python to predict customer churn and forecast monthly sales/demand, improving customer retention by 36% and achieving ~90% forecast accuracy. Built KPI dashboards in Power BI/Tableau and streamlined Databricks ETL to reduce data prep time by 30% and increase conversion rates by 25% via A/B testing and experimentation analytics.

Developed Flask-based web applications and payment integrations, improved query performance and test coverage, reducing load times by 15% and bugs by 20%, and saved 45 weekly manual hours through automation.

Developed Flask-based Python backend applications and REST APIs for enterprise clients, reducing application load time by 15% and improving data retrieval performance by 25% via SQL/PostgreSQL optimizations. Implemented automated testing with PyTest to reduce production defects by 20%, and delivered Agile improvements and automation that saved ~45 hours/week while modernizing legacy services.

Grade: 7.6 GPA

Completed a Bachelor of Technology in Electronics & Communication Engineering with a 7.6 GPA, covering core topics in electronics, communication systems, and engineering fundamentals.

Grade: 7.6 GPA

Earned a B.Tech in Electronics & Communication Engineering from West Bengal University of Technology. Graduated with a 7.6 GPA.