Hidayat Zeb

• Business Intelligence: Designed a Power BI dashboard that uncovered sales trends, enabling a strategic 11% increase in projected
revenue.
• Data Warehousing & SQL Analytics: Built a data warehouse from scratch in SQL using a star schema, and performed exploratory and
advanced analytics to extract actionable insights on sales, customers, and product performance.
• Supply Chain Analytics: Created KPI-tracking dashboards for supply chain operations, reducing planned expansion costs by an estimated
20%. Telecom Analytics: Engineered performance dashboards for telecom KPIs, supporting targeted campaigns to boost user engagement and
revenue. Sales Optimization: Developed interactive Power BI dashboards that improved sales decision-making, contributing to a 25% uplift in
sales efficiency. Data Transformation & Machine Learning: Used Pandas, NumPy, Matplotlib, and Scikit-learn for data cleaning, visualization, and
predictive modeling. Marketing Analytics: Analyzed campaign performance data to refine strategy, enhance customer satisfaction, and drive measurable
revenue growth. FMCG Market Analysis & Brand Strategy: Delivered strategic recommendations to enhance brand awareness, identify target consumers,
increase market share, and support product development. Data Management: Leveraged Advanced Excel functions, pivot tables, and formulas to prepare, cleanse, and transform complex
datasets. Data Created impactful dashboards and visuals that solved business problems and communicated to non
technical teams. Trend Analysis: Conducted in-depth analysis of large datasets, providing strategic recommendations that influenced executive decision
making. Productivity Enhancement: Identified inefficiencies via data modeling, resulting in a 20% improvement in operational productivity and
workflow.

Data Management: Leveraged Advanced Excel functions, pivot tables, and formulas to prepare, cleanse, and transform complex datasets.
Data Visualization: Created impactful dashboards and visuals that solved business problems and communicated insights to non-technical teams.
Trend Analysis: Conducted in-depth analysis of large datasets, providing strategic recommendations that influenced executive decision-making.
 Productivity Enhancement: Identified inefficiencies via data modeling, resulting in a 20% improvement in operational productivity and workflow.