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Data Analyst with 1+ years in Business Intelligence & Reporting
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with more than 1 year of hands-on experience in Business Intelligence, dashboard development, and advanced DAX engineering. Proven track record of building end-to-end reporting solutions in Power BI backed by SQL (PostgreSQL) and Python-based data processing. Experienced in designing FIFO-based inventory aging models, sales funnel analytics, ETL pipelines, and optimized data models following Kimball methodology. Skilled at data cleaning, transformation, validation, diagnosing and resolving complex DAX evaluation context issues, reducing dashboard load times by up to 50%, and delivering reporting accuracy that directly supports business decision-making.
Government College University Faisalabad
Bachelor of Science · Software Engineering
August 1, 2021 – June 30, 2025
Digifloat Private Limited
Junior Data Analyst
November 1, 2025 – Present
Lahore, Punjab, Pakistan
Gamica Cloud
Data Analyst Intern
May 1, 2025 – October 1, 2025
Faisalabad, Punjab, Pakistan
Cultural Fit Analysis
The candidate's experience is primarily focused on data analysis and business intelligence, which aligns well with a Data Analyst role. The projects demonstrate a breadth of application within data analysis (sales, inventory, service appointments). The candidate has experience in a full-time role and an internship, showing commitment to the field. The skills listed (Power BI, SQL, Python, Git) are standard for data analysis roles, indicating a good foundational fit.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving skills through diagnosing and resolving complex DAX bugs and optimizing dashboard performance. Their experience in designing full-cycle dashboards and ETL pipelines suggests a structured and detail-oriented approach. The descriptions imply an ability to work independently on significant projects.