Major Duties:Manage daily user assignments and hardware procurement data.Conduct quarterly audits for asset tracking and discrepancies.Clean and structure data for SQL storage (Pandas, Numpy).Create Power BI dashboards for inventory insights and KPIs.Success/Highlights:Efficiently organized and analyzed inventory data.Delivered accurate asset audits, ensuring up-to-date records.Developed actionable dashboards that provided valuable insights for decision-making.

Developed machine learning models for customer segmentation, boosting targeted marketing by 15%. Analyzed large datasets with Python (Pandas, Numpy) and SQL to extract business insights. Implemented predictive models (scikit-learn, XGBoost), improving sales forecast accuracy by 20%. Created data visualizations (Matplotlib, Seaborn) for clear communication with non-technical teams. Automated data pipelines, reducing manual tasks by 30%. Enhanced skills in Data Preprocessing, EDA, and Model Evaluation. Presented insights to senior management, driving data-based decisions.