Priya Teresa Ekka

Data-focused professional with Master's degree in Artificial Intelligence and proven expertise in pipeline development, database optimization, and large-scale data processing (50k+ datasets). Currently serving as Relief Worker/Homeless Outreach Support Worker at Riverside, demonstrating strong analytical skills through comprehensive client assessments, digital record-keeping systems, and GDPR-compliant data management for funding reports. Technical experience spans enterprise data warehouse development, machine learning applications, and full-stack web development using SQL, Python, PHP, and advanced visualization techniques. Combines technical proficiency in data modelling and source system analysis with exceptional interpersonal skills, resilience, and ability to translate complex data into actionable insights for multi-agency partnerships and strategic decision-making.

• Exploring Compact Transformer Architectures for Efficient Object Detection (Dissertation) - Conducted comprehensive data profiling and source system analysis on 200-class dataset, designing scalable data processing pipelines with performance optimization across multiple data sizes to support machine learning model development.
• Heart Murmur Detection System - Built and tested data products integrating multiple clinical data sources and demographic information, creating repeatable ETL processes for real-time healthcare analytics and outcome prediction.
• Speech Recognition System Using Hidden Markov Models - Developed enterprise-grade data warehouse solution with automated ETL pipelines for speech feature extraction, implementing data quality monitoring and statistical analysis frameworks for production deployment.
• Sequence Classification System - Designed and maintained data models for 50k+ token dataset processing, implementing complex data manipulation techniques with comprehensive visualization tools to support business decision-making.
• Vehicle Re-identification using Deep Learning - Engineered scalable data processing infrastructure handling 50,000+ vehicle images, developing automated data quality assurance processes and performance analytics for large-scale computer vision applications.
• Human Faces Generation with Diffusion Models - Created resilient data processing pipelines for high-dimensional image data with advanced validation techniques, demonstrating expertise in complex data manipulation and future-proof analytical solutions.
• Facial Recognition Security System (Masters Project) - Built real-time data processing system with comprehensive database maintenance, logging frameworks, and performance monitoring capabilities, ensuring data accuracy and system resilience for production environments.
• AR/VR Development with Unity - Developed interactive data visualization systems with spatial audio processing pipelines, translating complex technical data into valuable business insights through innovative presentation methods and real-time analytics.
• Full-Stack Web Development Projects (Bachelor's & Internships) - Developed Vehicle Renting System and Healthcare Information System with complete database design, implementing data models for booking management and medical information storage, with backend data processing and API integration for real-time availability and healthcare recommendations.

• Programming Languages: Python, SQL, Java, C++, JavaScript, PHP
• Web Development: HTML5, CSS3, Bootstrap, React, Angular, Full-stack Development
• Data & Analytics: Database Design, Data Modelling, ETL Processes, Data Analysis, Data Visualisation, Statistical Analysis, Machine Learning
• Tools & Technologies: Git Version Control, MySQL, API Development, Object-Oriented Programming

• Awarded certificate for application and sincerity in high school
• Awarded certificate and medal for ranking 3rd during Master's degree

• Reading
• Listening to music
• Playing guitar
• Photography
• Learning different languages
• Sketching

• Teaching underprivileged children
• Participating in community outreach programs