Mohd Osman

I’m a results-oriented Data Analyst who turns raw data into clear, actionable insights for stakeholders. I bring hands-on experience with SQL, Power BI, Excel, Tableau, and Python, including predictive analytics using scikit-learn and SHAP.

In my Data Analyst internship at Elevate Labs, I worked end-to-end across multiple structured tasks—data cleaning, EDA, and trend analysis—using Python in Jupyter Notebook. I built interactive Power BI dashboards with 10+ DAX measures and wrote SQL queries for sales trend analysis and revenue aggregations.

Earlier, as a Finance Research Analyst intern at Edify Equity, I conducted equity research and financial analysis, and translated financial data into structured research reports and stakeholder-ready PowerPoint presentations. My projects reflect this same drive: an Energy Cost Savings Forecaster using BI + DAX modeling, and an HR Analytics attrition prediction project using classification models and SHAP explainability.