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Data Analyst with less than a year in SQL, Power BI & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on expertise in SQL, Power BI, Tableau, Python (Pandas, NumPy), and Excel. Proven ability to extract, clean, and transform complex datasets into actionable business insights and interactive dashboards. Adept at data wrangling, KPI reporting, and communicating findings to stakeholders. IBM-certified in Data Science. Seeking a data analyst or business intelligence role to deliver measurable impact through data.
Virtual University of Pakistan
Bachelor of Business & Information Technology
November 1, 2021 – September 1, 2025
Arch Technologies
Data Science Intern
May 1, 2026 – Present
India
Developers Hub Corporation
Data Science & Analytics Intern
April 1, 2026 – Present
India
Oil & Gas Development Company (OGDC)
Data Analyst Intern
April 1, 2026 – May 1, 2026
India
Pakistan Information Security Association (PISA)
Intern - Cybersecurity Operations
September 1, 2019 – December 1, 2019
India
Sales Performance Dashboard - Power BI
June 1, 2026 – Present
Designed and deployed an end-to-end interactive Power BI dashboard tracking revenue, profit margins, order volumes, and month-over-month growth trends across multiple product categories. Implemented dynamic slicers and filters for region, product category, and time period, enabling stakeholders to drill down into KPIs and reducing manual reporting effort. Structured data model and DAX measures to support real-time refresh and accurate aggregation across 5+ data dimensions.
SQL Business Analysis Project
June 1, 2026 – Present
Authored 20+ complex SQL queries using JOINs, GROUP BY, CTEs, and subqueries to analyze customer purchasing behavior and product-level performance across a multi-table relational database. Identified top-performing product segments and customer cohorts, surfacing insights that informed hypothetical pricing and inventory decisions. Optimized query performance by restructuring logic and reducing redundant operations, improving readability and reusability of analytical scripts.
Customer Churn Analysis – Python
June 1, 2026 – Present
Performed end-to-end data wrangling on a 10,000+ row customer dataset using Pandas, handling missing values, outliers, and inconsistent formatting to prepare clean, analysis-ready data. Identified key churn indicators including tenure, contract type, and service usage patterns, visualizing findings through Matplotlib charts presented in a structured report. Derived actionable retention insights based on churn pattern analysis, demonstrating practical application of predictive thinking in a business context.
IBM Data Science Professional Certificate
Coursera
June 1, 2026 – Present
Cybersecurity Essentials
Cisco Networking Academy
June 1, 2026 – Present
CCNA: Introduction to Networks
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in data analysis and business intelligence, aligning well with a Data Analyst role. The diversity of projects (sales, customer churn, business analysis) and internships across different domains (Data Science, Data Analytics, Oil & Gas, Cybersecurity) indicates adaptability and a broad learning appetite. The IBM Data Science Professional Certificate further reinforces a commitment to continuous learning and professional development. The current enrollment in a Bachelor's degree suggests a proactive approach to formal education alongside practical experience.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight an ability to communicate findings to stakeholders and work on diverse datasets, suggesting a foundational capacity for collaboration and problem-solving. The internship at PISA also indicates exposure to organized operations and event management, which implies an understanding of structured work environments. However, specific examples of stress handling or team collaboration are not explicitly detailed.