Tarun Nagole
Chicago,Illinois
Summary
Innovative data analytics and software development professional with a strong track record of leveraging Python and AWS to improve predictive model accuracy by 18% . Proven leadership in cross-functional teams, enhancing data-driven decision-making processes. Expertise in developing scalable solutions and agile methodologies, complemented by effective stakeholder engagement skills. Seeking to further apply analytical skills and technical acumen to drive organizational success.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Research Assistant
Elmhurst University
09.2023 - 11.2024
- Analyzed spinal cord injury patient data at Memorial Hermann Hospital, uncovering injury mechanisms.
- Built predictive models for injury severity and pain using GLM, Lasso Regression, and MERF in R.
- Conducted statistical analysis to drive actionable insights.
- Developed interactive Tableau dashboards, boosting stakeholder engagement and data-driven decisions by 30%.
- Managed large-scale patient databases using AWS for scalable, fault-tolerant data handling.
- Designed data pipelines and analytical tools for seamless AWS integration (S3, EC2).
- Built cost-effective, scalable, distributed storage, and query systems.
- Optimized cloud computing resources to enhance system performance.
- Delivered high-quality software in an agile environment, focusing on optimization, and fault tolerance.
- Developed scalable analytics solutions using Python, R, and object-oriented design principles.
Software Engineer
Persistent Systems
09.2021 - 08.2023
- Architected and implemented use cases, software design, and verification in an agile environment.
- Developed scalable applications using Java, Spring Boot, Akka, and REST services for vehicle-level functions.
- Automated testing boosts productivity by 25% and reduces testing time.
- Collaborated with validation teams to diagnose and resolve issues, cutting resolution time by 15%.
- Managed source code with GIT, and optimized CI/CD pipelines using Artifactory, Jenkins, and build tools.
- Built cloud-based solutions on Azure within the Scaled Agile Framework (SAFe).
- Led full-cycle feature development, from story elaboration to deployment.
- Ensured software quality, security, and compliance with GM, and industry standards.
- Automated monitoring reduces manual oversight by 20% and increases system uptime.
- Applied object-oriented design and built scalable, fault-tolerant, distributed systems.
Teaching Assistant
JNTUH
07.2020 - 12.2020
- Delivered comprehensive Python training to a cohort of 70 attendees, focusing on foundational and advanced programming techniques.
- Delivered targeted lectures to enhance understanding of key topics and practical applications.
- Assessed student performance systematically to enhance academic growth.
Education
Master of Information and Communications Technology - Information Technology
Elmhurst University
05.2025
Bachelor of Technology - Computer Science
Jawaharlal Nehru Technological University Hyderabad
05.2020
Skills
Programming: Python, Java, C, JavaScript, R, Rust, Reactjs, Nodejs,
Data Science & AI: TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Keras, NLP, Computer Vision,
Software Development: Full-stack, REST APIs, DevOps, Microservices, Agile, Scrum, CI/CD, Cloud & Infrastructure: AWS, Azure, Google Cloud, Docker, Kubernetes, Terraform, Serverless,
Blockchain & Web3: Ethereum, Solidity, Smart Contracts, NFTs, IPFS, DApps,
Project Management: JIRA, Kanban, TDD
Agile methodologies, Scrum, CI/CD pipelines
Problem Solving & Algorithms: Debugging, System Design, Optimization, Data Structures, DSA,DP
Business Strategy: Customer needs analysis, Industry trends, Strategic alignment, Big Data & Real-Time Processing: Streaming data, Spark, Hadoop, Real-time analytics
Projects
Charon :
- Charon is a cloud-of-clouds storage system, integrating AWS, Azure, and Google Cloud for scalability, reliability, and cost efficiency.
- Ensures high availability through geo-redundancy, automated failover, and distributed computing.
- Implements end-to-end security with AES-256 encryption, TLS/SSL, IAM, and regulatory compliance (GDPR, HIPAA).
- Optimized for big data storage and processing using Apache Hadoop, Spark, Kafka, and Kubernetes.
- Enhances performance with parallel processing, caching, and AI-driven analytics.
- Supports automated DevOps pipelines with Terraform, Docker, and CI/CD (Jenkins, GitHub Actions).
- Delivers cost-effective, high-speed, and secure data access across multiple cloud environments.
Certification
- Google Data Analytics
- Deep Learning And Neural Networks
Timeline
Research Assistant
Elmhurst University
09.2023 - 11.2024
Software Engineer
Persistent Systems
09.2021 - 08.2023
Teaching Assistant
JNTUH
07.2020 - 12.2020
Master of Information and Communications Technology - Information Technology
Elmhurst University
Bachelor of Technology - Computer Science
Jawaharlal Nehru Technological University Hyderabad
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