Allan Dsouza

Built an AI-driven banking chatbot using AWS Lex and AWS Lambda to handle customer queries and transactions efficiently. Developed natural language processing (NLP) capabilities and integrated AWS Lambda functions for backend logic.

Designed and developed a mobile e-commerce app for men's clothing using Kotlin and Firebase. Implemented Firebase authentication and a real-time database for secure user login and product management.

Processed 50+ transactions per shift with 99.9% accuracy, reducing wait times by 15% during peak hours. Picked and packed 30+ online orders per shift with 98% accuracy, ensuring timely delivery and high customer satisfaction.

Developed a robust machine learning model to classify iris flowers using supervised learning techniques. Conducted extensive data analysis and preprocessing, visualising feature distributions using Matplotlib and Seaborn.

Developed an interactive dashboard to visualise football player earnings trends and ranks using Power BI. Utilised data cleaning and transformation techniques to enable business insights and storytelling.

Grade: First class

Activities and societies: Relevant modules: Software Engineering, Web Development, Algorithms & Quality assurance & testing

Enthusiastic and passionate final-year BSc (Hons) Computing student with a predicted First-Class degree. Gained hands-on experience in software development, machine learning, and cloud technologies, building scalable web and mobile applications. Proficient in Python, Java, and Kotlin, with strong skills in data analysis, predictive modelling, and data visualisation.