Software Engineer Asp.Net

Vaishnavi Peddaboina

+1-806-***-**** Texas **************@*****.*** www.linkedin.com/in/vaishnavi-peddaboina https://github.com/Vaishnavi-1505

EDUCATION

Texas Tech University Lubbock, Texas

Master Of Science in Computer Science ( CGPA – 3.66) Exp- May 2026 Geethanjali College Of Engineering and Technology Telangana, India Bachelor of Technology in Electronics and Communication Engineering (CGPA – 3.4) Aug 2023 SKILLS

Programming Languages: C, JAVA, C#, Python, R, SQL

Web & Backend Development: HTML, CSS, JavaScript, React.js, ASP.NET Core, Spring Boot(REST), API Integration, Server Management, and Web Security.

Databases & Frameworks: MySQL, SQL Server, .NET, ASP.NET, ADO.NET, MVC patterns

Tools & Other Skills: Eclipse, VS Code, Tableau, Rstudio, Git PROFESSIONAL EXPERIENCE

Prolifics Co-operation Pvt.Ltd Hyderabad, India

Software Engineer, Full Stack Developer July 2023-July 2024

Developed a centralized, web-based platform that streamlined the audit team’s data retrieval process, reducing report generation time by 60% and enhancing financial auditing efficiency.

Designed and built an E-commerce website using .NET, ASP.NET, ADO.NET, and MVC patterns, integrating a RESTful API for product catalog management and order processing.

Optimized database performance by designing complex SQL queries, managing relational databases, and implementing an authorization framework that improved system integrity, reduced response times, and cut user-reported errors by 50%. SMART BRIDGE Hyderabad, India

Intern Apr2021 -June 2021

Developed data processing pipelines using NumPy and Pandas to analyze engine performance and failure patterns.

Implemented statistical techniques to enhance predictive accuracy and maintenance scheduling. PROJECTS

TWITTER SENTIMENT ANALYSIS USING VARIOUS ALGORITHMS Aug 2024 -Nov 2024 Team Lead

Developed a machine learning-based system to classify political tweets as positive, negative, or neutral, utilizing models like Naive Bayes, SVM Classifier, and Random Forest for improved accuracy.

Implemented data preprocessing techniques to clean and prepare Twitter data, conducting research on sentiment analysis methods to refine algorithms for performance.

SECURE API MANAGEMENT: DETECTING AND REPAIRING CRYPTOGRAPHIC AND VULNERABILITY PATTERNS IN MOBILE APPLICATIONS Aug 2024 -Nov 2024 Team Lead

Developed a system to detect and mitigate security flaws in mobile application APIs.

Implemented machine learning models (LSTM, SVM, Decision Tree) to enhance API security.

Analyzed cryptographic vulnerabilities and proposed automated repair strategies.

Optimized the SVM model using hyperparameter tuning to improve classification accuracy. PREDICTIVE MAINTENANCE ENGINE USING IBM CLOUD Apr 2021-June 2021 Team Lead

Utilized machine learning to anticipate equipment failures, reducing downtime and optimizing performance through proactive maintenance.

Analyzed real-time data from sensors and IoT devices, providing proactive alerts and seamless integration with existing workflows for efficient maintenance management.

CERTIFICATIONS

Completed training on Java J2EE – Wipro.

Earned Google Data Analyst Certification in Coursera.

Pursuing UI/UX Designer Professional Certificate.

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