I'm Mavis Masikati, a Cape Town-based data and financial analyst. I help businesses organise and understand their financial and operational data so they can assess performance, identify patterns, monitor costs and make more informed decisions. My work brings together financial analysis, data preparation and reporting using Excel, Power BI, SQL and Python — with findings explained in clear, practical language.
or book a free 30-minute data review →
My training includes ALX Africa's Data Science programme and a professional data analytics certificate. I have also applied these skills during a Data Science & Analytics internship, working on practical business questions involving sales performance, customer segmentation and conversion analysis.
Alongside data analytics, I am studying towards the ACCA qualification to strengthen my understanding of financial reporting, accounting principles and business performance. This combination helps me look beyond charts and consider what the figures mean in a financial and operational context.
The aim is not simply to produce another spreadsheet or dashboard. It is to make the information useful: explain what the data shows, where attention may be needed, and which questions a business should investigate next. Deliverables are designed to be understandable and practical for the people using them.
View my services →Financial reporting, audit and assurance — the accounting side of the numbers, alongside the analytics.
Dashboards, sales & profitability analysis and reporting clean-ups for small and medium businesses — remote, worldwide.
Sales performance, RFM segmentation and conversion-funnel projects delivered as dashboards with written recommendations.
Data modelling, warehousing and database administration.
Python, SQL and statistics applied to African business datasets.
Many organisations collect sales, expense, customer and stock information across different systems and spreadsheets. Bringing that information together can make it easier to understand performance and spot issues that deserve attention.
When reports depend on repeated copying and manual calculations, they take time to prepare and are harder to refresh consistently.
Revenue alone does not show margins, product costs, customer patterns or which parts of the business contribute most to performance.
Duplicate records, inconsistent categories and unclear spreadsheet structures can undermine analysis and make reporting less reliable.
Use a free 30-minute introductory review to discuss your business question, the data available and whether an analysis or reporting project would be useful. There is no obligation to proceed.
Book the free reviewEach one is a fixed-price project with a defined deliverable and a date. You know the price and the outcome before I start.
Product, category, channel and region performance with margin attached to every line — so you can see which best-seller is quietly costing you money and which slow-mover is carrying your profit.
Revenue, gross margin, expenses, cash position and budget-versus-actual — modelled once, refreshed on demand. The reporting a board, a bank or a buyer will accept without arguing.
Not every customer is worth the same. RFM segmentation, churn risk, lifetime value and basket analysis tell you who to protect, who to win back, and what to sell them next.
Before analysis comes trustworthy data. I restructure the workbooks businesses grow into — hardcoded totals, duplicate codes, buried subtotals — into clean, auditable form, and put controls in so it stays that way.
Send one file. I tell you what your data can and can't answer today — and whether you even need me.
A short written proposal: the question, the deliverable, the timeline, the price. You approve before anything starts.
Cleaning, modelling, dashboard, findings — plus a walkthrough so your team owns it after I leave.
Most clients start with the free review and we decide together. Bring your messiest spreadsheet — I've seen worse.
Book a free data reviewEvery project below is public — code, dashboards and documentation on GitHub. Click through and check the work yourself.
Short, practical pieces. Read one and you should be able to do something with it the same week.
Tell me a little about the business and what you're trying to find out. I reply to every message within one working day.