Nelson Joseph

Experienced in data analysis and performance analytics, with hands-on experience with structured datasets across the FinTech and Sports domains. Strong foundation in Python, SQL, and data visualisation, combined with analytical problem-solving skills to support data-driven decision-making. Keen on transforming complex data into actionable insights that drive business value.

Web Developer at Kiya.ai (Infrasoft) (2022-05 – 2023-11)

Developed and maintained backend modules for banking applications using Java and Spring Framework

• Developed & maintained backend modules using Java & Spring Framework (Gradle & Maven) for banking applications based on client requirements
• Contributed to core banking systems, working closely with structured financial data, transaction flows, & enterprise-level datasets
• Analysed business & system requirements to design scalable solutions aligned with banking workflows & data integrity standards
• Performed data validation, testing, & debugging to ensure accuracy, consistency, & reliability across application modules
• Collaborated with cross-functional teams using GitLab for version control & project tracking, ensuring timely & high-quality delivery
• Worked with MVC architecture & received training in AngularJS, enabling effective coordination between backend & frontend components
• Demonstrated strong performance by completing a 6-month probation period in 3 months, recognised for work ethic & task delivery

Sports Analyst at HUDL India Private (2021-06 – 2021-07)

Conducted performance analysis using match video data to evaluate players and team performance across multiple sports

• Conducted performance analysis using match video data to evaluate players & team performance across multiple sports
• Analysed structured & unstructured performance metrics to support data-driven insights for coaches & analysts
• Applied analytical techniques to assess live NBA games & generate detailed breakdowns of American Football, Soccer, Volleyball, & Basketball matches
• Utilised internal performance analysis tools to tag, review, & evaluate matches based on predefined analytical parameters & performance criteria
• Delivered in-depth analytical reports highlighting strengths, weaknesses, & improvement areas for teams & players
• Demonstrated strong attention to detail & analytical thinking while working under defined evaluation frameworks & timelines

Master of Science in Big Data Analytics & Artificial Intelligence – Atlantic Technological University (2024-01 – 2025-12)

Bachelor of Engineering in Information Technology – St. Francis Institute of Technology (2017-01 – 2021-12)