About
Data Analyst with experience in application support, business intelligence, and data analysis. Skilled in SQL, Python, Excel, Power BI, and Tableau to analyze data, automate reporting, troubleshoot application issues, and build dashboards that support business decisions. Experienced in working with cross-functional teams to improve processes and resolve business and technical problems.
Skills & Expertise (36)
Work Experience
Application Support Analyst
Birchstreet Systems
Jun 2025 - Dec 2025
Resolved L1/L1.5 production incidents for global hospitality clients, consistently meeting SLA targets while improving application availability and user experience. Investigated and resolved application issues related to user provisioning, procurement workflows, EDM, and Purchase Orders using ServiceNow, Jira, Salesforce, SQL, and root cause analysis. Validated application data using SQL queries, reducing troubleshooting time by approximately 25% and improving incident resolution efficiency. Collaborated with Finance, Procurement, and F&B stakeholders to analyse business requirements, update approval workflows and GL mappings, and ensure accurate business process execution. Developed Excel, Power BI, and Tableau dashboards to monitor ticket trends, SLA performance, and operational KPIs, enabling faster reporting and decision-making. Streamlined recurring support activities by creating AI-assisted templates for ticket summaries, knowledge documentation, and SLA reporting, reducing manual effort by approximately 4–5 hours per week. Created and maintained support documentation, knowledge base articles, and standard operating procedures (SOPs), improving knowledge sharing and reducing repeat issues.
Data Analyst
Geetika Fashion
Jul 2021 - Dec 2022
Automated daily data preparation and reporting workflows using Python and SQL, reducing report preparation time from approximately 4 hours to under 45 minutes. Designed interactive Power BI and Tableau dashboards for sales, inventory, and fabric wastage analysis, enabling faster access to KPIs and improving reporting efficiency for management. Performed data cleaning, validation, exploratory data analysis (EDA), and trend analysis using Python and SQL to support inventory planning and demand forecasting. Optimised existing database queries and reporting processes, improving data accuracy, reducing recurring reporting issues, and increasing report reliability. Standardised reporting templates, data validation checks, and documentation to improve data quality, reporting consistency, and business process efficiency. Worked closely with business users to understand reporting requirements, translate business needs into dashboards, and deliver actionable insights for operational decision-making. Trained end users on dashboards, reporting tools, and new workflows, improving user adoption and reducing reporting-related support requests.
Education
Post-Degree Diploma in Data Analytics - Douglas College
2023 - 2024 · Afghanistan
Bachelors in Computer Applications - Vivekananda Institute of Professional Studies, GGSIPU
2018 - 2021 · Afghanistan
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Skills (36)
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