About
Results-driven Data Analyst and Business Analyst with 8+ years of cross-functional experience spanning SAP ERP, supply chain analytics, and retail business intelligence. Proven track record of delivering data-driven solutions using Python, SQL, Power BI, and Tableau across FMCG, retail, and IT services sectors. Expertise in translating complex datasets into actionable insights that directly improve profitability, inventory accuracy, and operational efficiency. Seeking to leverage deep domain knowledge in SAP procurement and hands-on analytics experience to drive measurable business outcomes in a high-growth analytics environment.
Skills & Expertise (49)
Work Experience
QA & Operations Trainee
Integrated Personnel Services
Sep 2016 - Jun 2017
Gained cross-functional exposure across design, quality control, production, procurement, and sales & marketing in the automotive manufacturing industry.
SAP Purchase & Data Analyst
Promatic IT Solutions
Oct 2017 - Dec 2020
Maintained and analyzed SAP vendor master data to drive improvements in procurement strategy and resource allocation across the supply chain. Built supplier KPI dashboards using Excel and SAP reporting tools to track vendor performance, optimize sourcing decisions, and identify cost-saving opportunities — achieving 15% reduction in procurement costs. Automated procurement reporting workflows, reducing manual effort and improving data accuracy for inventory and purchase order tracking.
Data Analyst
Goodgudi Retail Private Limited
Nov 2024 - Present
Engineered an end-to-end inventory and sales analytics dashboard using Python (Pandas, NumPy) and Power BI, providing real-time POS visibility across all retail outlets — improving stock visibility by 85% and enabling faster replenishment decisions. Designed and implemented a dynamic inventory replenishment and liquidation model for 4,000+ SKUs using Python, analyzing historical sales patterns and lead times; directly contributed to a 20% increase in company profitability by reducing carrying costs and improving inventory turnover. Performed consumer purchasing pattern analysis using Python and SQL, identifying key trends that refined promotional and pricing strategies — resulting in a 15% increase in customer retention. Developed an automated financial reconciliation system using Python and Google Apps Script to match POS data (Udaan) with bank settlement data (PineLab), reducing manual reconciliation effort by 90%.
Senior Associate – Data & SAP Analytics
Capgemini Technology Services
Dec 2020 - Oct 2024
Performed in-depth Exploratory Data Analysis (EDA) on large-scale sales datasets using Python (Pandas, NumPy) and SQL (SSMS), surfacing actionable insights for business stakeholders across supply chain and finance functions. Designed and delivered logistics analytics dashboards in Power BI to optimize Goods Receipt and Invoice Verification workflows, streamlining the Procure-to-Pay (P2P) cycle and reducing transaction discrepancies by 20%. Managed end-to-end data lifecycle for SAP MM module — extracting raw data from SAP tables (Material Master, Purchase Orders, Goods Receipts), performing data cleansing and transformation in Python, and building SQL-based reporting layers. Nominated as Rising Star at Capgemini for three consecutive fiscal year quarters (2021, 2022, 2023) for delivering high-impact analytics and process improvement initiatives.
Education
Bachelor of Engineering (B.E.) - Visvesvaraya Technological University (VTU)
2012 - 2016 · Afghanistan
Certifications
Data Scientist Internship Certification
· 2025
Data Analytics with Python
IBM & Simplilearn · 2023
Rising Star Award
Capgemini Technology Services · 2021
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