About
Aspiring Data Analyst with a B.Sc. in Computer Science and practical experience in Excel, Power BI, SQL, and Python. Skilled in data analysis, visualization, and dashboard development through multiple business-focused projects. Passionate about turning data into actionable insights and supporting data-driven decision-making.
Skills & Expertise (16)
Work Experience
Data Analyst
AtliQ Hardwares
Jun 2026 - Jun 2026
Analyzed sales, customer, and product data using SQL to solve 10 executive-level business requests and generate actionable business insights. Developed an interactive Power BI dashboard with DAX measures, KPI cards, and dynamic visualizations for business performance reporting. Identified top-performing customers, products, and sales channels, uncovering growth opportunities and supporting data-driven decision-making.
Developer
Hospital
May 2026 - May 2026
Developed a Hospital Doc-to-Data System using Python, FastAPI, Streamlit, and MySQL to digitize patient and prescription records from hospital documents. Built REST APIs and an interactive frontend for managing healthcare records through CRUD operations, reducing manual effort and improving data accessibility. Improved operational efficiency by reducing manual data entry time by approximately 60% through automated patient and prescription data extraction.
Data Analyst
AtliQ Hardware
Apr 2026 - Apr 2026
Created a comprehensive Power BI dashboard to assess AtliQ hardware's global sales trends by integrating data from two distinct sources (Excel/CSV files and a SQL database) for improved market insights. Managed a dashboard that enabled AtliQ Hardware to assess sales trends across departments, generating actionable insights to support sales optimization strategies and reducing data-related expenses by 20%. Implemented data models and visualizations in Power BI, enhancing the report's performance by 5% through optimization with DAX Studio.
Data Analyst
AtliQ Hardware
Feb 2026 - Feb 2026
Analyzed a comprehensive P&L report for AtliQ Hardware for the fiscal year 2022, utilizing advanced Excel features such as Pivot Tables and DAX to provide thorough insights into revenue streams and expense categories. Optimized data cleaning workflows using Power Query, resulting in a time savings of around 4 hours from repetitive manual tasks. Established DAX-based calculation models, achieving a 30% improvement in report accuracy and providing users with more detailed and flexible data insights.
Education
B.S.C Computer Science - Swami Vivekananda College
- 2025 ยท Afghanistan
Certifications
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Skills (16)
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