Software Engineer

VIGNESHWAR MURIKI

Charlotte, NC

980-***-**** # **********.******@*****.*** ï linkedin.com/in/VigneshwarMuriki § github.com/VigneshwarMuriki EDUCATION

University of North Carolina at Charlotte August 2022 – May 2024 Master of Science in Computer Science with a concentration in Data Science Charlotte, North Carolina TECHNICAL SKILLS

Programming: C, Python, R

Web Development: HTML, CSS, JavaScript, React, MongoDB, Cassandra, TypeScript, NodeJS Database Management: MySQL, PostgreSQL, MongoDB, Amazon Redshift Data Visualization: Matplotlib, Seaborn, ggplot2, Tableau, PowerBI Tools and Technologies:: Docker, Kubernetes, Gitlab CLI, Oracle Virtual Box, Splunk Communication and Project Management: Slack, Microsoft Teams, Jira PROFESSIONAL EXPERIENCE

One Community Inc. June 2024 – Present

Software Engineer San Gabriel, California

• Ensured thorough edge case testing and final evaluations of open pull requests with over six approvals

• Supported Scrum teams of over 100 members, overseeing PR review standards and conducting front-end testing

• Conducted performance testing of various application pages, identifying areas of code optimization and implementing improvements to enhance overall efficiency.

CalTek.Net June 2024 – Present

Linux Docker System Admin Los Angeles, California

• Installed and configured open source Docker stacks and images on Debian/Ubuntu and CentOS for various projects, including PostgreSQL instances and ERP packages

• Migrated and managed multiple non-profit project instances from OCPortal to Composr, hosted on Bluehost and GoDaddy University of North Carolina at Charlotte March 2024 – May 2024 Research Assistant Charlotte, North Carolina

• Conducted comprehensive intrusion detection by analyzing network traffic and system logs, employing generative models to create realistic runtime data for testing and improving detection systems

• Demonstrated how synthetic data generated from models can enhance system dependability and security, reducing the risk of real-world data exposure and improving the robustness of security protocols

• Assessed the effectiveness of generative models in machine learning solutions, focusing on their ability to enhance security measures and system dependability, and provided recommendations for integrating these models into existing security frameworks

University of North Carolina at Charlotte August 2023 – May 2024 Graduate Assistant Charlotte, North Carolina

• Guided over 50 students in SQL and big data frameworks (Hadoop, Spark), and organized ten Power BI workshops, resulting in a 25% improvement in student project outcomes

• Analyzed 25 years of North American climate data using Hadoop and Hive, ensuring data quality and deriving significant insights

• Devised a fraud detection system using Spark for real-time analysis, improving fraud detection accuracy by 20% through effective data pre-processing, feature engineering, and model evaluation PROJECTS

Strategic Business Analytics and Insight Generation for APAC Markets - Conducted SQL-driven analysis for APAC markets, providing insights that boosted business expansion by 15%. Identified product growth trends, enhancing development efficiency by 20%. Created segmented reports and performed differential analysis, supporting data-backed inventory decisions.data-backed inventory decisions, and optimizing market strategies Power BI-Driven Performance Analytics in Competitive Sports - Utilized Power BI to analyze three years of sports data, identifying top performers based on runs, averages, and strike rates. Developed predictive models to forecast season standouts and championship outcomes, enhancing strategic decisions. Compiled an optimal team lineup using historical metrics and thorough research, adopting a data-driven approach to player selection

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