Sandy He Email & Phone Number

Sydney, New South Wales, Australia

Position Summary- As a researcher, apply machine learning methodologies on music data analysis, emotion recognition and text-based social tags analysis.- Explore innovative approaches to detect different patterns from various music recordings.Key Achievements - Designed a multi-view neural network model to detect dynamic emotion over time with Python.- Proposed a segment-level two-stage learning architecture (Unsupervised learning + supervised learning) to predict static emotion for songs with Python.- Implemented a solution to analyse a million songs dataset with data cleaning, processing, modeling and visualization end to end.- Experimented deep neural network models to recognise data patterns, predict music emotion in both regression and classification ways.- Built a solution with a number of techniques to quantify social tags in the dimensional emotion space.- Published 3 high quality papers based on the outcome of above experiments and solutions.Skillset: R, Python, Keras/Tensorflow/pytorch, Git, Shell script, Matlab, Pycharm, Jupyter notebook, Sklearn, Matplotlib, NLP, CNN, BiLSTM

Sydney, Australia

Position Summary- As the only female developer, working on an existing code base to drive the development.- Provide technical support on customer issues like debugging, fixing bugs to ensure high-quality delivery. - Conduct quality tests for the new product releases.Key Achievements - Developed a web-based publishing product (PageSeeder), which mainly served Australian Government Department of Health and Oxford University Press. - Addressed front-end issues for Oxford online learning system with HTML/CSS/Javascript, and implement product delivery on time liaising with the project manager.- Developed page layout adjustment and search function features for PBS (Pharmaceutical Benefits Scheme) website according to customer requirements and designed automation test cases usingJava Mokito.- Quality assurance for Pageseeder development with test automation strategy and implementation.

Beijing City, China

Position Summary - Manage a team of 10 to design and develop new features for network management products.- Collaborate with stakeholders to discuss requirements and the project plan.- Support performance issues and customer escalations with quick response.- Practise agile working mode, hold a series of meetings (scrum plan/review/retrospective/standup meeting), coordinate human resources and tasks to boost team efficiency.Key Achievements - Incorporated agile working mode and led the delivery of the WNMS OAM7.0 product(wireless network management system).- Implemented a data purge program with Java/Shell to remove obsolete files on configured purge jobs. - Develop features for collecting/transforming/loading performance data with Java/Shell/XML. Use JCAT(Junit) to do unit tests.- As a quality supervisor, monitor and report product development quality periodically. Engage in software quality audit work for the whole R&D department.

Beijing City, China

Position Summary - Lead team to develop OAM modules to support the new UCORE MGW release.- Take development work to support the new network element(NE) release.- Team quality prime to enhance product development quality.Key Achievements- Led 3 people to complete the development work for new NE release support (agile working mode).- Developed fast features for performance data processing.- Initiated the innovation to develop the diagnose tool for data flow troubleshooting (using shell script and Java).

Beijing City, China

Position Summary - Implement fast features and maintain network management products.- Summarize fast feature development experience for team sharing and practice.- Code inspection and integration for continuous development.- 7*24 level 3 support for customer issues.Key Achievements - Developed a DC (data collector) function module to collect performance data from VSE network devices (Java/XML).- Built an NE backup simulator to simulate platform backup environment for function test and KPI test (Java/SQL).- Analysed log files and implemented a user-login monitor tool for security management (using shell script and Java).- Developed a time synchronization feature for collected data from network elements in different time zones (Java/XML).

Doctor Of Philosophy - Phd, Computer Science

data analysis and visualization, machine learning, data science - Focus on music data analysis, emotion recognition and text-based social.

Master'S Degree, Computer Science

Bachelor'S Degree, Computer Science