Master of Science, Data Science

CGPA - 3.74/4 • Relevant Coursework: Programming using Python, Statistics and Data Mining, Data Models Query Language, Intro to Machine Learning, Data Intensive Computing, Data Structures and Algorithms, Storytelling through Data Visualization, Probability Theory and Numerical Mathematics for Data Scientists.

Bachelor of Technology, Electronics and Communication Engineering

CGPA - 8.59/10

Application Development Analyst

Dedicated and skilled professional with extensive experience in managing task tracking, backlog, and sprint planning through the effective utilization of Azure DevOps for version control and CI/CD pipelines. Adept at creating and maintaining YAML pipelines in Azure Pipelines, demonstrating proficiency in streamlining development workflows.

Key Accomplishments:
– CI/CD Pipeline Optimization: Spearheaded the development and maintenance of YAML pipelines in Azure Pipelines, contributing to a remarkable 80% time-saving over manual processes. As a key member of the automation team, actively participated in the creation of PowerShell and Bash scripts within Azure Pipelines.
– Integration Expertise: Played a pivotal role in seamlessly integrating Azure Repos with critical services, including Azure Data Factory and Azure Databricks. Ensured smooth collaboration and data flow between systems.
– Infrastructure Management: Demonstrated proficiency in developing and maintaining Terraform scripts for Azure infrastructure provisioning and management. Contributed significantly to the enhancement of overall system efficiency.

Application Development Associate

Results-driven professional with comprehensive training in key concepts, including C#, ASP.Net MVC, and Azure Cloud Services. Proven expertise in facilitating the seamless migration of on-premises databases to Azure Cloud, leveraging Azure Data Factory for efficient data handling. Proficient in developing SQL queries for data ingestion and creating robust ETL pipelines in Azure Databricks.

Key Competencies:
– Azure Cloud Services: Possess a strong foundation in Azure Cloud Services, with a focus on designing and implementing robust solutions to meet organizational needs.
– Azure Data Factory: Applied skills in Azure Data Factory to streamline data workflows, including the development of SQL queries for effective data ingestion.
– ETL Pipelines in Azure Databricks: Developed and optimized ETL pipelines in Azure Databricks, contributing to the efficient processing and transformation of data for enhanced business insights.