About Me
As an experienced professional skilled in business analytics, data analysis, and statistical modeling, I design and develop appropriate extracts and datasets, incorporating data from external sources, to enable analysis,…
As an experienced professional skilled in business analytics, data analysis, and statistical modeling, I design and develop appropriate extracts and datasets, incorporating data from external sources, to enable analysis, visualization, and interpretation. I am proficient in utilizing a variety of tools and technologies, including Microsoft Office, R, SQL, Python, Azure, Orange (5 times a week), and Power BI, and Tableau (1 time a week).
Able to break down complex problems into manageable parts and to the design, develops data science
products to reveal insights and provides an understanding or knowledge of the data that would otherwise
not be detected without the application of advanced analytical methods such as artificial intelligence,
machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use
of relevant algorithms and computational approaches (3 times a week).
Conducts methodological research, analyze, and present information gathered from various data sources on
assigned topics (5 times a week).
Experience
Data Analyst
<p>Analyses and interpret a wide range of complex information, extracting key points to communicate at all levels and contributing to the development of policy<br>
Interpretation data through analysis and statistical techniques, producing key insight that identify and address resources and skills gaps through the workforce planning model<br>
Support group decisions - present methodology and finding to key stakeholders to influence decision making, an implementation / action plans<br>
Facilitating and/or presenting at internal pr external meetings, giving advice and input as required<br>
Gathering data, filter and “clean” data by reviewing reports; data sets from source; and performance indicators to locate and correct problems and interpret trends or patterns in complex data sets<br>
Analyse and review stakeholder feedback enabling solutions for improvements to workforce planning reporting<br>
Develop best practise research and intelligence to support the Strategic Workforce Planning activities<br>
Identify and develop new process improvement opportunities for the Strategic Workforce Planning<br>
Interprets and understand CSUL operational delivery and strategy plans and its wider context<br>
Support the coordination and implementation of the workforce planning projects and activities, to prioritise business and information needs, enabling the successful optimisation of service delivery<br>
Work actively with the Strategic Workforce Planning team to support the facilitation and delivery of workforce planning workshops and stakeholder meetings, providing potential solutions through</p>
Part Time Data Analyst
<p>Analyses and interpret a wide range of complex information, extracting key points to communicate at all levels and contributing to the development of policy<br>
Interpretation data through analysis and statistical techniques, producing key insight that identify and address resources and skills gaps through the workforce planning model<br>
Facilitating and/or presenting at internal pr external meetings, giving advice and input as required<br>
Gathering data, filter and “clean” data by reviewing reports; data sets from source; and performance indicators to locate and correct problems and interpret trends or patterns in complex data sets<br>
Analyse and review stakeholder feedback enabling solutions for improvements to workforce planning reporting<br>
Interprets and understand CSUL operational delivery and strategy plans and its wider context<br>
Support the coordination and implementation of the workforce planning projects and activities, to prioritise business and information needs, enabling the successful optimisation of service delivery<br>
Work actively with the Strategic Workforce Planning team to support the facilitation and delivery of workforce planning workshops and stakeholder meetings, providing potential solutions through</p>
Data Service Intern
<p>Work with BI Developers to develop, support and enhance existing reports/dashboards<br>
Provide ad-hoc reporting support and guidance to the Business Departments as required<br>
Carry out routine quality checks as agreed with Data Service Manager<br>
Carry out impact assessment with specifications, for project and change request<br>
Develop project and change request requirements<br>
Create test scenarios, data sets, and outcome records to conduct thorough testing of extraction, reporting, and cube features before they are deployed<br>
Collaborate with the UTK Test Team to carry out quality assurance activities<br>
Perform post implementation reviews of projects changes to ensure requirements are met<br>
Support implementation of “Consumer Duty” from BI/Data Services perspective<br>
Completing the reporting requirements of projects/change ensuring impacts are correctly understood/assessed<br>
Completing project to review and improve “Redline” Brand reporting<br>
Develop queries or algorithms to ingest data from various sources into a cloud-based environment and data ecosystem<br>
Build required infrastructure for optimal extraction, transformation and loading of data<br>
Assist in preparing big data infrastructure for large-scale data intensive applications<br>
Optimise and engineer cloud architectures, data storage technologies<br>
Activate and drive my potential in designing, building and testing data ptoducts, scripts or connectors for advance analytics<br>
Creating “Loan Default Detection” and “Early Warning System” using Python<br>
I also learned administrative tasks related to customer interactions. The workload and processes involved in handling these tasks were high-volume and required quick turnaround times. My responsibilities included ensuring a customer-focused approach, collaborating with the Commercial Manager to align our customer loyalty program and business plans, and developing a local action plan for operational implementation. I aimed to foster a customer-centric culture throughout the entire market and ensure customer satisfaction by supporting managers and team leaders in setting goals and implementing agreed-upon development plans. Additionally, I utilized effective communication skills and attention to detail to interpret data and implement strategies in-store to drive repeat visits and cultivate long-term customer loyalty. Through these experiences, I developed practical and professional competence in service-oriented roles.<br>
Achievement: I design, and create the “Loan Default Detection” using Python as a breakthrough in the form of an “Alert” if the customer is late in fulfilling the obligation/installment. The purpose of the breakthrough idea prevent and avoid deteriorating credit quality.<br>
Achievement: I design, and create the “Early Warning System” using Python as a breakthrough in the form of an “Alert” if the customer is late in fulfilling the obligation/installment. The purpose of the breakthrough idea prevent and avoid deteriorating credit quality.</p>