About
Data Analyst with 3+ years’ experience in healthcare & finance, skilled in SQL, Python, Power BI, Tableau, and Excel. Expertise in data cleaning, ETL optimization, dashboards, and predictive modeling to improve efficiency and decision-making. Delivered results such as 20% faster ETL loads, real-time compliance tracking, and improved financial reporting accuracy. Strong collaborator with business, healthcare, and finance stakeholders to drive data-driven insights and operational improvements.
Skills & Expertise (23)
Work Experience
Junior Process Associate
IQ Back Office
Present - Present
Used SQL to extract and manipulate financial data from accounting systems (such as QuickBooks, SAP, or Oracle Financials) for monthly, quarterly, and annual reporting. Worked closely with finance stakeholders to generate ad-hoc reports on cash flow, vendor payments, and account balances to support audits and forecasting. Utilized Python (Pandas, NumPy) to clean, analyze, and transform large accounting datasets, such as transaction logs, balance sheets, and journal entries. Built simple dashboards and reports using Python (Matplotlib, Seaborn) to visualize month-over-month financial trends and KPIs. Developed interactive Power BI dashboards to visualize key accounting metrics such as accounts receivable/payable, expense categories, and budget vs. actuals. Used DAX to create calculated fields and measures tailored to finance and audit needs. Connected Power BI directly to SQL databases and Excel files used by accounting teams, ensuring timely access to critical financial data. Wrote efficient queries to reconcile general ledger data, track expenses, and monitor revenue streams across departments.
Senior Process Executive
Cognizant Technology Solution
Jan 2023 - Jan 2025
Worked with large volumes of patient, claims, and hospital operations data from electronic health record (EHR) systems using SQL (e.g., SQL Server, PostgreSQL). Wrote complex SQL queries to extract, clean, and join datasets from multiple tables related to admissions, procedures, lab results, and insurance claims. Used Python (with Pandas, NumPy, and matplotlib/seaborn) to analyze trends in patient data, such as treatment effectiveness, chronic disease progression, and medication adherence. Developed small-scale machine learning models to predict patient no-shows and high-risk readmissions, enabling better resource planning. Designed and maintained interactive dashboards in Power BI to visualize key healthcare metrics such as average length of stay, patient wait times, utilization rates, and staff performance. Used DAX formulas to build calculated measures like readmission rates, medication error rates, and provider efficiency scores. Created reusable views and stored procedures to support recurring clinical and operational reports. Worked closely with doctors, nurses, and department leads to customize visualizations and highlight the metrics that mattered most to their workflows.
Education
Bachelor of Commerce (B.Com) - Madra University
- 2020 · Afghanistan
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Citizen
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Depends on Offer
