Data Science .Net Core

Prudhvi Kolla

*************@*****.*** 346-***-**** linkedin.com/in/prudhvi-kolla

EDUCATION

Master of Science, Data Science Aug 2023 – Dec 2024 University of Houston Houston, Texas

Masters of Technology, Computer Science and Engineering Jun 2017 – Apr 2022 VIT University Chennai, India

TECHNICAL SKILLS

Programming Languages: C#, C#.Net, VB.Net, Python, C, C++, Java, Swift. Databases: SQL Server, MS SQL, Oracle DB, Kusto DB, PostgreSQL. Technologies/Frameworks: MVC, WCF, Entity Framework, ASP.Net, .Net Core, JavaScript, Typescript, Angular 14, Bootstrap, HTML and CSS, Linux, GitHub, WordPress. Developer Tools: Visual Studio, VS Code, SQL Management Studio, PyCharm, Xcode, Tableau, Power BI. Project Management Tools: Jira, BitBucket, Notion. Cloud: Kubernetes, Docker, Azure DevOps, Azure Data Factory, Blob Storage, CI/CD Automation, AWS Management Console, AWS CLI.

WORK EXPERIENCE

AbbVie Software Development Engineer CA, USA Jan 2025 – Present

• Designed and implemented tailored solutions for the healthcare application, utilizing .NET technologies such as WCF, ASP.NET, XAML and leveraged Entity Framework for efficient data access, optimizing internal processes like medical supply/medication ordering and patient registration to align seamlessly with clinical workflows and patient-care requirements.

• Continuously enhanced the application by adding new features, actively engaging with cross-functional teams, and incorporating user feedback, resulting in improved usability and heightened clinician and patient satisfaction.

• Utilized advanced data binding techniques to ensure real-time updates and synchronization between the UI & patient/clinical data models.

• Led a comprehensive migration strategy to transition legacy WCF application components to Angular, leveraging TypeScript for enhanced code quality and maintainability, enabling real-time updates and improved overall care-team user experience.

Cyberforza Software Developer Intern Remote, USA May 2024 – Dec 2024

• Developed a real-time threat monitoring and analytics module in C# for the CISS Interceptor e-commerce security platform, enabling continuous tracking of network endpoints and IoT devices. Reduced meantime-to-detect (MTTD) for critical vulnerabilities by 12 seconds and prevented 20+ potential outages through proactive alerting.

• Engineered a Threat Analytics module with sub-3-second detection latency, integrating breach detection, malware protection, and DLP logic. Blocked 95+ unauthorized access attempts and reduced internal security escalations by about 2 incidents per week.

• Integrated Jira and Slack APIs to automate real-time incident ticketing and on-call engineer notifications, cutting average response time by 5 minutes and centralizing updates for a 10+ member support team across production and staging environments.

• Refactored and optimized backend services in .NET and Python to process high-volume security event logs for e-commerce platforms and ETRM systems. Increased log throughput from 120,000 to 145,000 events/hour while reducing processing latency by 1.2 seconds per batch.

TCS, Bangalore Software Engineer Bangalore, India Jun 2020 – July 2023

• Developed and designed robust API solutions for .NET web applications, leveraging ASP.NET Framework and MVC Architecture, resulting in a 25% increase in API performance and enhanced user experience.

• Engaged in developing components for business and data tier using ADO.Net and created controllers to handle events on Razor views in ASP.Net MVC framework, leading to a seamless user experience and improved application responsiveness.

• Developed and implemented .Net Core APIs to optimize data retrieval from SQL databases, enabling tabular layouts and Power BI reports; decreased report generation time by 40% and enhanced data visualization for informed decision-making.

• Collaborated on Angular 8 applications, employing Typescript and integrating libraries such as Ag-grid and Fusion Charts. Applied a JSON-driven framework to facilitate the visualization of statistical tabular data.

• Implemented NgRx for efficient state management, optimizing data handling efficiency by 35%; conducted rigorous unit testing with xUnit, Moq for ASP.NET and Jasmine & Karma for Angular achieving 95% test coverage.

• Proficient in Azure Development with experience in Azure services like Azure Resource Manager Azure Storage, Azure Monitoring and Key Vault directory, designed NSGs to control inbound and outbound access to Network Interfaces. Seoul Bike Sharing Demand Python, Pandas, scikit-learn, Statistical Analysis, Data Visualization

• Engineered and deployed advanced regression techniques to enhance the performance of the machine learning model, resulting in a 30% reduction in prediction errors and improved accuracy in forecasting bike rental demand.

• Conducted thorough data analysis, unveiling insights like peak rental hours and seasonal trends and executed hypothesis testing to validate assumptions and measure correlations between variables.

Contact this candidate