Saigirish Suryadevara
Denton,TX
Summary
Application development analyst at Accenture for 2 years, improving data migration efficiency with advanced ETL designs and delivering insights via PowerBI. Proficient in data modeling with Python and AWS cloud services.
Overview
2
2
years of professional experience
Work History
Application Development Analyst
Accenture
10.2020 - 12.2022
- Supported efficient data migration processes by designing and implementing robust ETL procedures, ensuring minimal downtime during transitions.
- Interacted with clients and other vendors to get clarifications on the business requirements and translate the requirements into visual reports using PowerBI.
- Reduced data discrepancies by implementing rigorous data validation techniques and automated error detection.
- Used Powershell Scripting to automate managing systems.
Education
Master of Science - Information Science And Information Systems
University of North Texas
Denton, TX12.2024
Bachelor of Science - Computer Science
Gitam (Deemed To Be University)
Visakhapatnam, India06.2020
Skills
Programming Skills: C, C, Python
Databases: MySQL, Microsoft SQL Server
Big Data: Apache Airflow, Hadoop, and Spark
Data Visualization: Power BI, Tableau
Scripting & Markup Languages: Java Script, PowerShell Scripting, HTML, CSS
Cloud Services: AWS EC2, Microsoft Azure
Tools: Automation, PowerShell
Projects
YouTube API-Pipeline (Python, AWS EC2, Apache Airflow):
This is a basic beginners data engineering application with Apache Airflow and Python. In this job, we will collect data from a YouTube Video Comment Section using Google API, transform data with Python, implement the code on Airflow/EC2, and save the final output on Amazon S3.
Football Player Potential Analysis (Python, Google Colab, PowerBI): Conducted a comprehensive analysis of football player attributes using the Football Players dataset, leveraging Python in Google Colab and PowerBI for data visualization. Explored correlations between age, potential, dominant foot preference, and physical attributes, providing actionable insights for sports analytics decision-making.
Football Player Potential Analysis (Python, Google Colab, PowerBI): Conducted a comprehensive analysis of football player attributes using the Football Players dataset, leveraging Python in Google Colab and PowerBI for data visualization. Explored correlations between age, potential, dominant foot preference, and physical attributes, providing actionable insights for sports analytics decision-making.
Timeline
Application Development Analyst
Accenture
10.2020 - 12.2022
Master of Science - Information Science And Information Systems
University of North Texas
Bachelor of Science - Computer Science
Gitam (Deemed To Be University)
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