I’m a Business Data Analyst with over 5 years of experience turning raw business data into accurate forecasts, clear visual stories, and actionable strategies. I specialize in helping companies understand why performance changes — not just what happened.
I use Python, SQL, and Machine Learning to identify patterns, predict outcomes, and uncover growth opportunities across multiple industries, including retail, finance, and e-commerce. Then, I translate those insights into interactive Power BI dashboards that executives can actually use to make confident business decisions.
What I do best:
Predictive analytics using Python (Scikit-learn, Pandas, NumPy)
Business performance forecasting and trend analysis
Risk & profitability modelling (revenue, cash flow, and customer loyalty)
Customer segmentation and churn prediction
Interactive dashboards and KPI tracking in Power BI (DAX, visualization design)
Data cleaning, transformation, and automation for ongoing reporting
A few impact examples from my work:
Improved cash flow predictability by 30% using ML-powered payment risk models
Reduced inventory waste by 80% through data-driven forecasting
Increased sales by 25% for an automotive dealership using predictive sales analysis
I bring a mix of technical skill and business understanding — so whether you need a one-time analysis or a long-term data strategy, you’ll get results that translate directly into performance improvement.
Let’s connect and turn your business data into a clear, predictive roadmap for growth.