Update DataBytesReport.md

updated individual contributions

Signed-off-by: Denica <[email protected]>

documentation/T1_2024/Group_Tasks_and_Handover_Documents/DataBytesReport.md

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 | Vishal Kumar | <li>Implemented registration page functionality, ensuring responsiveness after addressing non-responsiveness issues.</li><li>Worked on the implementation of the "Delete an Account" feature, advancing both front-end and back-end tasks.</li><li>Collaborated with Junkai to enhance understanding of backend systems, databases, and routes for effective execution of the task.</li><li>Successfully completed the frontend and backend task for the "Delete an Account" functionality.</li><li>Encountered a testing issue due to the absence of data in the new database; identified the root cause and discussed it with team members for resolution.</li><li>Completed the data insertion process for the new database, enabling proper testing of the "Delete an Account" functionality.</li><li>Tested and ensured the functionality of the "Delete an Account" feature; committed and merged the code into the development branch after review.</li><li>Discussed and planned the next task with team members: adding an Acknowledgment Section to the About Us page.</li><li>Implemented the Acknowledgment Section in the About Us page, with the code committed and approved after review.</li> |
 | Aishwarya Mahajan | <li> Proposed and established a comprehensive data quality platform by sharing a data quality report.</li><li> Created validation scripts for data dictionary ensuring data integrity and accuracy for customer, account, transaction and loan tables.</li><li> Implemented checks for not-null constraints, unique constraints, range validations, allowed values, and regex pattern matching.</li><li> Introduced a new Data Quality folder in the GitHub repository.</li><li> Formed and led a dedicated Data Quality team focussing the validation of transactional data in database.</li><li> Developed Python scripts for visualizing monthly spending data for users.</li><li> Created detailed bar charts with color gradients to indicate spending intensity. </li> |
 | (Mariska) Heera Mohanadas | <li> Reviewed logging function, created report / review on it.</li> <li> Enhanced logging function, adding log rotation and reduced noise</li> <li> Created internal denial list to reject common/weak strings in potential passwords</li> <li>Conducted risk assessments on two third-party services, GroqCloud API and Pinecone</li> <li>Attended leadership meetings to discuss handover documents, and discuss project future</li> <li> Created script for Dolfin (old) showcase video, recorded my part and then added Junkai's part into it, and then uploaded showcase video to Panopto</li> <li>Reviewed the work of other students (code and documentation) to ensure they satisfied corresponding requirements of their Trello task, primarily cyber security students though</li> <li>Answered student queries</li> <li>Regularly posted updates and notified Dolfin project members on the timelines of the unit</li> <li>Answered student queries, troubleshooting</li> <li>Conducted code reviews on PRs, ensuring they do not adversely affect or compromise the security of the website or its credentials</li> <li>Hosted a meeting to discuss handover documents and delegation with junior leadership students</li>|
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+| Denica Hope | <li> Finalised the creation of the data generation python scripts for transaction data, home loan data, credit card data including compiling a reference list of hundred Australian merchant names (real businesses) that I also categorised with our new classfication categories </li> <li> Created a python script to replicate item 3 of the Melbourne Institute-CBA Observed Finance Wellbeing Scale and tested against multiple datasets to validate output was correct </li> <li> Created gauge chart using python to visualise the years remaining on a home loan (displayed loan total years, years passed and years remaining) </li> <li> Created a sankey chart using python to visualise the spread of total spend across the mid level transaction classification heirachy </li> <li> Held weekly meetings for DS/AI stream, created group posts of key dates for end of trimester, created new trello cards for visualisations and financial wellbeing tasks, assisted students with clarifying tasks, providing feedback on submissions </li> 
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