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**THANUSHREE EADALA GAJENDRA**
+1 (336) 770-9254
thanushree.eg22@gmail.com
linkedin.com/in/thanushree-eg22
Open to Relocation
### EDUCATION
**New York Institute of Technology, Manhattan**
Sep 2022 – May 2024
Master of Science in Computer Science, GPA: 3.84/4.0
*Technical Coursework:* Algorithm Concepts, Operating System Security, Computer Architecture, Principles of Information Security, Software Engineering, Database Systems, Theory of Computation, Machine Learning, Big Data
**PES University**
Aug 2016 – Aug 2020
Bachelor of Technology in Computer Science and Engineering
*Technical Coursework:* Data Structures and Algorithms, Advanced Database Management System, Software Engineering, Introduction to Data Science, Data Analytics, Social Network Analysis, Computer Network, Computer Network Security, Cloud Computing
### SKILLS
**Programming Languages:** Python, Java, C, JavaScript, PHP, jQuery, Linux scripting, SQL, MySQL
**Web Development:** HTML, CSS, JavaScript, Bootstrap (V4 and V5), Angular 11
**Tools and Platforms:** Amazon EC2 (AWS), PostgreSQL, MongoDB, SAP BusinessObjects Data Services, JIRA, Teradata, Apache Hadoop, Apache Spark, Power BI, Microsoft Excel
### WORK EXPERIENCE
**Accenture Solutions**
Feb 2021 – Aug 2022
Associate Data Engineer
- Developed and tested ETL pipelines for Molson Coors Beverage Company, ensuring robust data management and integration.
- Created complex PostgreSQL data models handling 10TB+ data, improving query performance by 35%.
- Automated AWS data tasks using Python, boosting productivity by 20%.
- Enhanced batch processing automation with Teradata and BTEQ scripts, reducing processing time by 30%.
- Led Azure data migration, increasing client efficiency by 40%.
- Utilized Agile, JIRA, and Tableau for streamlined project management.
**Knoema IT Solutions**
Feb 2020 – May 2020
Intern
- Built Python-based ETL automation tool, reducing Excel/CSV processing time by 70%.
- Scraped 50+ data sources using Python and BeautifulSoup for client insights.
- Automated ETL tasks with Python, cutting data handling time by 30%.
- Optimized pipelines for seamless high-load performance.
### PROJECTS
**Correlation Study of Climate Change and Electric Vehicle Adoption**
- Used Apache Spark/Python for OLS regression (R²=0.927), identifying CO2 emissions as key adoption factor.
**Lung Cancer Detection Using GXNOR_Net**
- Built AWS-based detection system with Python, improving diagnostic accuracy and reducing AWS training costs.
**SelfieLessActs App**
- Developed AWS app with Flask/REST API, improving load balancing and response times by 30%.
**Hospital Management System**
- Designed system with MySQL, PHP, JavaScript, and React.js for optimized patient records and scheduling.
**Deep LSTM Siamese Network for Text Similarity**
- Achieved 90%+ accuracy with TensorFlow and contrastive loss techniques.
### CERTIFICATIONS
- Microsoft Azure Fundamentals
- SAFe Agile 5.0
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