About
Data Analyst with 2.6 years of experience in data analysis, reporting, and business intelligence using SQL, Python, Power BI, and Excel. Experienced in data cleaning, data transformation, data integration, and data modelling to build analysis-ready datasets and dashboards for supply chain, procurement, and planning analytics. Strong in data visualization, KPI reporting, and translating business requirements into decision-ready insights.
Skills & Expertise (35)
Work Experience
Data Analyst
Mu Sigma
Aug 2023 - Present
Delivered analytics solutions and decision-support insights for enterprise and Fortune 500 clients across core business operations and planning functions. Integrated well-level operational data with invoice-level spend data to build a unified cost analytics platform across 10 Product Service Lines (PSLs) representing 80%+ of total well spend. Prepared analysis-ready datasets using SQL joins, aggregations, and Python-based data transformation workflows, improving accuracy of cost attribution to wells, pads, and jobs. Defined and calculated 15+ standardized cost metrics, including cost per well, cost per pad, cost per job, cost per foot, supplier-wise spend, and cost element breakdowns. Designed and delivered 10 Power BI dashboards with drill-down from PSL-level summaries to invoice-level details, supporting data visualization and supplier performance analysis. Enabled data-driven procurement and sourcing decisions through improved reporting and analytics, with business stakeholders attributing $45M+ in cost savings to enhanced cost transparency and supplier benchmarking. Analyzed demand forecasts, supply plans, and purchasing data across multiple seasons and product categories to identify key drivers contributing to PIFOT (Plan In Full On Time) performance degradation. Reviewed planning and purchasing patterns to highlight gaps between planned demand and supply execution. Built multi-level analytical datasets across 5+ hierarchical dimensions (Division, Geography, Season, Style, Color) to support both executive reporting and planner-level analysis. Developed Power BI dashboards providing visibility into fill rate, inventory position, demand–supply alignment, and purchasing status. Supported data-driven planning and purchasing decisions, with stakeholders attributing approximately $34M in cost benefits to improved demand–supply alignment. Mentored junior analysts by leading sessions on SQL, Power BI, and end-to-end analytics workflows, improving onboarding and delivery quality.
Education
Bachelors of Technology, Computer Science and Engineering - University College of Engineering and Technology For Women, Kakatiya University
- · Afghanistan
