Hanzala Khaleeq

Detail-oriented Data Analyst with hands-on experience collecting, processing, and performing statistical analysis on large datasets to uncover trends and patterns. Skilled in SQL for querying and manipulating relational databases, Python (Pandas, NumPy, Scikit-learn) for data processing and analysis, and Power BI (DAX) for building interactive dashboards and reports. Proven ability to translate complex datasets into actionable insights for business decisions, collaborate with cross-functional teams, and communicate findings clearly to non-technical stakeholders.

Available for remote, contract engagements.

Data Analyst (Remote Contract) at Istanbul Kabab (2025-04 – 2025-12)

• Developed and maintained Power BI dashboards to communicate key metrics including daily revenue, operational KPIs, and peak-hour trends — eliminating 15+ manual reporting hours per month.
• Queried and manipulated 10,000+ delivery and logistics records using SQL to identify dispatch bottlenecks, reducing average delivery time by 12%.
• Performed Python-based statistical analysis (Pandas, Matplotlib) on point-of-sale data to identify high-margin combinations, supporting promotions that increased average order value by 10%.
• Generated ad-hoc reports and visualizations for cross-functional decision-making across operations and finance teams.
• Ensured data accuracy and consistency through systematic validation and quality checks on raw operational datasets, supporting audit-ready monthly financial reviews.

Data Analyst Intern at Marshal Rice Mills (2024-06 – 2024-08)

• Collected and processed daily procurement logs in Excel (Pivot Tables, Power Query, VLOOKUP), converting paper-based records into clean, queryable digital formats.
• Built Power BI dashboards to provide shift supervisors real-time visibility into truck arrivals and warehouse unloading KPIs.
• Compiled and analyzed supplier pricing data using SQL queries to support cost comparisons and management negotiations.
• Performed data validation and quality checks on incoming inventory records, identifying and correcting discrepancies to maintain accurate stock reporting.

BS in Computer Science – University of Engineering & Technology (UET), Lahore