Data Analyst with proven expertise in data analytics, business process optimization, and stakeholder engagement. Skilled in SQL, Power BI, Python, and ETL pipelines, with a strong track record of transforming complex dat…
Data Analyst with proven expertise in data analytics, business process optimization, and stakeholder engagement. Skilled in SQL, Power BI, Python, and ETL pipelines, with a strong track record of transforming complex datasets into actionable insights that drive strategic decision-making. Experienced in managing technical projects, automating workflows, and delivering data-driven solutions that improve efficiency and customer experience.
Delivered fast, solution-oriented support, enhancing customer satisfaction.
Managed cases via ServiceNow, resolving technical issues and improving communication workflows.
Developed a command-line data analysis tool using Python, pandas, and logging., Developed a Smart Inventory Forecasting App with Streamlit and Prophet., Created a Retail Demand Forecasting App.
Retained customers by resolving queries, negotiating renewals, and promoting tailored insurance solutions to meet their needs.
Accurately updated policy information in internal systems and ensured compliance with industry regulations and company procedures.
Retained customers by resolving queries, negotiating renewals, and promoting tailored insurance solutions., Updated policy information in internal systems and ensured compliance with regulations.
Conducted customer research and analysis to support lead qualification and business development.
Identified inefficiencies in lead handling and proposed process enhancements.
Conducted customer research and analysis to support lead qualification and business development., Identified inefficiencies in lead handling and proposed process enhancements.
Designed, developed, and maintained software applications to support internal business processes.
Wrote clean, efficient code and performed debugging and testing to ensure application reliability and performance.
Worked with relational databases (e.g. SQL Server, MySQL), including writing queries and managing data integration.
Collaborated with users and stakeholders to gather requirements, provide technical support, and improve system functionality.
Designed, developed, and maintained software applications., Collaborated with users and stakeholders to gather requirements and improve system functionality.
Assisted clients with day-to-day banking needs, including account inquiries, transactions, and product information.
Promoted banking products and services while delivering excellent customer service in a fast-paced environment.
Assisted clients with day-to-day banking needs., Promoted banking products and services while delivering excellent customer service.
Delivered fast, solution-oriented support, enhancing customer satisfaction., Managed cases via ServiceNow, resolving technical issues and improving communication workflows.
Built a Streamlit dashboard that visualizes job demand, average salaries, and trends across South African cities using a custom dataset. Designed interactive filters and charts for user-friendly insights.Key Technologies: Streamlit, Python, Pandas, Plotly
Engineered a command-line tool for analysts to clean, merge, and analyze CSV files, generate reports, and export to Excel. Automated manual reporting workflows.
Built a forecasting app with Streamlit and Prophet to predict product demand for retail clients. Allowed CSV uploads, date filtering, and product selection. Improved inventory planning accuracy and reduced stockouts.Tools: Python, Streamlit, Prophet, Plotly, Pandas
Developed an end-to-end demand prediction tool that cleaned historical sales data, applied regression models, and visualized forecasts in an interactive interface.Tools: Python, Scikit-learn, Streamlit, Statsmodels, Pandas
Designed a relational database schema and wrote complex SQL queries to analyze customer behavior, order trends, and product performance in a simulated e-commerce environment.Tools: SQL, MSSQL
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