Fresh graduate Data Analyst with hands-on experience delivering end-to-end analytics projects, including Power BI and Excel dashboards and machine learning models. Skilled in Python, SQL, Power BI, DAX, and Excel for dat…
Fresh graduate Data Analyst with hands-on experience delivering end-to-end analytics projects, including Power BI and Excel dashboards and machine learning models. Skilled in Python, SQL, Power BI, DAX, and Excel for data cleaning, exploratory data analysis (EDA), KPI development, and predictive modeling with scikit-learn and XGBoost.
<p>• Developed a five-page Power BI dashboard using data modeling, and DAX to analyze store profitability, inventory exposure, operational efficiency, customer segments, and payment channels.</p><p>• Cleaned and validated pharmacy retail datasets using Excel and Python (Pandas), preparing sales, inventory, prescription, staffing, customer, and supplier data for analysis.</p><p>• Evaluated profitability across 12 stores and analyzed product category performance, discount effectiveness, and customer purchasing patterns to identify business improvement opportunities.</p><p>• Assessed approximately $50M in inventory against $3M in revenue, identifying nearly $10M in inventory value at risk of expiry.</p><p>Technologies: Excel, Python, Databricks, Power BI, DAX, Data Cleaning, Data Validation, Data Modeling.</p>
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