Jingyang Chen Email & Phone Number

Melbourne, Vic, Au

Melbourne, Victoria, Australia

Melbourne, Victoria, Australia

Melbourne, Victoria, Australia

As an Educational Consultant, I worked closely with university applicants to support them throughout the application process, combining personalised mentorship with data-backed insights to enhance the quality of their applications.- Assisting students in developing personal statements that effectively showcase their achievements, aspirations, and motivations.- Providing personalised feedback to refine and polish their university applications, ensuring clarity, coherence, and strong articulation of their unique strengths.- Offering strategic advice on major selection, considering each student's past experiences, interests, and future career goals, and using insights from data trends to help make informed choices about their academic journey.- Guiding students to improve their overall application profiles to maximise their chances of admission to their preferred universities.- Empowering students by enhancing their writing skills, and providing constructive comments, to help them build a competitive edge in their applications.

Auckland, New Zealand

Developed a prototype data management tool, streamlining interactions with Arango DB, Mongo DB, and Influx DB.- Implemented a Python-based CLI for data preprocessing, integrity checks, and CSV/JSON imports.- Integrated version control using Git, facilitating collaborative development and smooth code integration.- Ensured software reliability through comprehensive unit testing and adherence to corporate standards.

Auckland, New Zealand

Melbourne, Victoria, Australia

Developed and deployed a machine learning model achieving over 90% accuracy in solar radiation data quality control, reducing error rates by 15%.- Automated the Quality Control process, significantly enhancing data accuracy and processing efficiency.- Implemented advanced data-cleaning techniques to transform raw radiation records into machine-readable formats.- Utilised Recurrent Neural Networks (RNN) to classify and identify faulty radiation readings.- Conducted thorough testing and validation of the machine learning model to ensure robustness and accuracy, including cross-validation and hyper-parameter tuning.- Collaborated with meteorologists, data scientists, and engineers to refine the model and integrate it into existing workflows.

Master Of Science - Ms, Data Science

Geospatial Database Project: - Developed a comprehensive Postgres/PostGIS geospatial database, enhancing data accessibility and analysis..

Bachelor Of Science - Bs, Data Science

High School Diploma

Activities and Societies: Outstanding Award for Top in the World in IGCSE Assessment U17 Basketball Chess