Demonstrated in-depth knowledge and experience with machine learning principles, algorithms, and frameworks, including supervised and unsupervised learning, computer vision, and natural language processing. Utilised these skills to design and implement machine learning models and pipelines using technologies such as TensorFlow, Keras, and PyTorch.Exhibited proficiency in working with massive telecommunication data, participating in all stages of the big data mining process including data collection, cleaning, preprocessing, feature selection, model development, validation, visualisation, and gap analysis. Utilised advanced techniques for data manipulation and analysis, including dimensionality reduction and feature engineering, to extract valuable insights from complex and voluminous datasets. Showcased expertise in utilising data visualisation and analysis tools such as Matplotlib, Seaborn, and Pandas tocommunicate findings and support decision-making. Displayed proficiency in communicating technical concepts to diverse audiences through interactions with Business Analysts, Subject Matter Experts, and Data Architects to elicit and comprehend the requirements and functionality of various ML-driven projects. This required adeptness in conveying complex ideas in a clear and concise manner, as well as the ability to adapt the mode and level of communication to the technical acumen of the listeners.

Gained hands-on experience with ASP.NET and C# development, building a foundation in object-oriented programming principles, design patterns, and web development best practices.Assisted in designing data access solutions using SQL and Entity Framework, contributing to the performance and scalability of software applications and deepening my knowledge of database optimization techniques.Collaborated on integrating REST APIs, enhancing the performance and scalability of software applications and supporting the development and maintenance of projects.Effective use of version control systems, such as Git and GitHub, to collaborate with experienced software engineers on team projects, showcasing proficiency in utilizing pull requests to ensure code quality and compliance with project standards, reflecting strong teamwork and communication skills.

Conducted literature reviews and kept up-to-date with the latest research and developments in the field of NLP.Collaborated with researchers and professionals from other departments and institutions to implement NLP models to tackle specific problems, including language generation, and text classification.Conducted experiments to evaluate the performance of NLP models on various tasks and datasets, and analysed the results to identify areas for improvement and optimisation.Applied complex similarity models to real-world problems in the university, such as improving information retrieval systems and identifying relationships between different pieces of data.

Assisted in tuning regression models to enhance viewer engagement predictions, supporting the marketing team's promotional strategies.Supported the deployment of ML solutions to the cloud, gaining experience in system monitoring and API integrations with SKY's infrastructure.Collaborated in designing an ML pipeline with version control and testing, focusing on content classification and data flow.Aided in the evaluation of models using cross-validation, learned hyperparameter adjustments, and contributed to ensuring model robustness.

Assisted with the creation and maintenance of technical documentation, including test cases, test plans, and bug reports.Utilised tools such as Postman and JMeter to perform load, performance, and API testing and also Python libraries and frameworks such as Pytest and unittest to design and implement test cases and test plans.

Worked on a variety of projects, including research and development, software engineering, and data analysis, utilising a range of technologies and tools.Researched and developed a proof-of-concept for the automation of specific end-to-end testing within the Fitbit Health features team.