Data Visualization Computer Science

SREELEKHA ONTEDDU

+1-940-***-**** • *****************@*****.*** • Denton, TX

EDUCATION

Master of Science in Computer Science, 2024

University of North Texas, Texas, USA

Bachelor of Technology in Computer Science, 2022

BV Raju Institute of Technology, Hyderabad, India

SKILLS

Database: SQL, Azure SQL Database, MySQL, PostgreSQL Programming Languages: Python, C++, Java, JavaScript, React.js, HTML, CSS, Angular APIs: RESTful APIs, REST API

Machine Learning: Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Logistic Regression, Regression Models, Classification, Clustering

Data Visualization: Power BI, Tableau, Excel, Dashboard Creation, Interactive Data Visualization Tools: Jupyter Notebooks, GitHub, SharePoint, JIRA, MS Teams Software Development Life Cycle (SDLC): Agile, Scrum, Waterfall, Spiral, Data Modeling, System Analysis, Design, Planning, Estimation, Testing

Additional Skills: Predictive Modeling, Data Migration, Code Optimization, Unit Testing, Course Design, Technical Tutoring, Collaboration, Software Customization, Data Extraction Automation WORK EXPERIENCE

SystechCorp Aug 2024 - Present

Data Engineer

• Analyzed and enhanced athenahealth’s Data Visualization platform with a microservices back-end supporting 15+ dashboards, delivering critical performance insights on revenue and patient flow to 8,000 healthcare practices.

• Built a pipeline, streamlining data migration within environments, reducing developer effort by 60%.

• Involved in SDLC phases including data modeling, system analysis, design, planning, estimation, and testing.

• Refactored key React.js components to boost UI responsiveness, decreasing load times by 40% and increasing user engagement by 25%.

• Revamped the application codebase, refining reusable components and covering 90% code through unit test case development.

• Revamped the error logging and reporting system, providing detailed insights into system behavior; findings to fix the three biggest causes of crashes, decreased average resolution time by 15%. Legato Health Technology Jul 2022 - Sep 2022

Associate Software Engineer

• Collaborated and deployed Python-based predictive models for customer churn and segmentation, achieving 87% accuracy.

• Automated SQL-based data extraction workflows for recurring reports, reducing manual effort and cutting overall data processing time by 30%, improving efficiency for downstream analytics teams.

• Integrated Azure Analysis Services with Power BI for interactive data visualization and reporting, enabling self-service analytics for business stakeholders while ensuring data consistency and governance.

• Created Power BI dashboards consolidating data from 5+ sources, improving visibility for 50+ business users and cutting ad- hoc reporting time by 35%.

• Created Tableau reports, streamlining reporting processes and reducing manual effort by 40%. Virtusa Jan 2022 - Apr 2022

Associate Software Engineer

• Developed scalable and robust applications using C++, Java, and Angular, improving system efficiency by 30% through innovative programming and web frameworks.

• Designed and implemented RESTful APIs for seamless system integration, enhancing data exchange and reducing integration time by 20%.

• Collaborated with cross-functional teams to deliver customized software solutions, boosting client satisfaction by 25% while ensuring code quality through diligent reviews and adherence to best practices.