Ashutosh Padhi

Senior Associate - Cloud & Infrastructure

✅ Implemented tag-based automation in Azure to create and manage VM snapshots, reducing manual overhead.
✅ Implemented a tag-based VM lifecycle management system using Azure Automation Accounts, leveraging Runbooks and PowerShell to start/stop VMs on a schedule based on resource tags, reducing costs and maintaining operational flexibility.
✅ Created Azure dashboards to monitor system performance and extract key metrics used in generating weekly and monthly operational reports.
✅ Supported Infrastructure as Code (IaC) deployments using Terraform.
✅ Deployed and managed containerized applications with Docker and Kubernetes.
✅ Monitor system health, analyze logs, and proactively resolve performance issues.
✅ Plan and execute patch management, updates, and vulnerability remediation across cloud resources.
✅ Got access to resources across AWS and GCP, and currently learning both platforms while building automation scripts to implement tag-based scheduling to automate the server start/stop based on tags.
✅ Collaborated with teams and continuously learning Azure services and best practices.

Software Engineer - CIMS

✅ Assisted in provisioning and configuring Azure resources like VMs, Storage, Load balancers, etc.
✅ Monitored cloud infrastructure performance and responded to alerts using Azure Monitor.
✅ Configured and managed access controls using Azure AD and RBAC.
✅ Assisted in backup, disaster recovery, and resource redundancy setups.
✅ Documented cloud configurations, deployments, and changes.
✅ Efficiently handled daily client requests including VM configuration changes, start/stop operations, access management, and schedule setup, while adhering to ITIL practices and ensuring on-time service delivery with zero SLA breaches.

Machine Learning Intern

As a Machine Learning Trainee, I’ve been working on financial data tasks that support automation in treasury and payment systems. Here are some key areas I've focused on:
✅ Performed Exploratory Data Analysis (EDA) to understand and clean raw financial data (invoices, payments, transactions).
✅ Prepared and structured data for use in O2C (Order-to-Cash) and treasury payment systems.
✅ Supported cash forecasting by analyzing historical payment data and trends.
✅ Helped with data matching for reconciliation between payments and invoices.
✅ Used tools like Python (pandas, matplotlib) for data analysis and visualization.

Data Analyst Intern

During my internship, I leveraged Power BI to analyze and visualize complex datasets, providing valuable insights and aiding data-driven decision-making. Proficient in data manipulation, visualization, and dashboard creation, I contributed to enhancing organizational efficiency and informed decision-making processes.