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I am a Microsoft-certified Data Analyst, Fabric Analytics Engineer, and Fabric Data Engineer with strong SQL and Python experience, skilled in transforming large multi-source datasets into actionable insights. I excel at developing Power BI and Tableau dashboards, writing optimized SQL queries, performing deep-dive analyses to identify trends, and translating complex data into clear business recommendations. I also automate data pipelines, clean and validate data, and collaborate with cross-functional teams to support strategic decision-making.…I am a Microsoft-certified Data Analyst, Fabric Analytics Engineer, and Fabric Data Engineer with strong SQL and Python experience, skilled in transforming large multi-source datasets into actionable insights. I excel at developing Power BI and Tableau dashboards, writing optimized SQL queries, performing deep-dive analyses to identify trends, and translating complex data into clear business recommendations. I also automate data pipelines, clean and validate data, and collaborate with cross-functional teams to support strategic decision-making.

Muhammad Areeb Nadeem

Data Analyst, Data Scientist, Data Visualizer, +2

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I am a Microsoft-certified Data Analyst, Fabric Analytics Engineer, and Fabric Data Engineer with strong SQL and Python experience, skilled in transforming large multi-source datasets into actionable insights. I excel at developing Power BI and Tableau dashboards, writing optimized SQL queries, performing deep-dive analyses to identify trends, and translating complex data into clear business recommendations. I also automate data pipelines, clean and validate data, and collaborate with cross-functional teams to support strategic decision-making.…I am a Microsoft-certified Data Analyst, Fabric Analytics Engineer, and Fabric Data Engineer with strong SQL and Python experience, skilled in transforming large multi-source datasets into actionable insights. I excel at developing Power BI and Tableau dashboards, writing optimized SQL queries, performing deep-dive analyses to identify trends, and translating complex data into clear business recommendations. I also automate data pipelines, clean and validate data, and collaborate with cross-functional teams to support strategic decision-making.

Available to hire

I am a Microsoft-certified Data Analyst, Fabric Analytics Engineer, and Fabric Data Engineer with strong SQL and Python experience, skilled in transforming large multi-source datasets into actionable insights.
I excel at developing Power BI and Tableau dashboards, writing optimized SQL queries, performing deep-dive analyses to identify trends, and translating complex data into clear business recommendations. I also automate data pipelines, clean and validate data, and collaborate with cross-functional teams to support strategic decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Business Intelligence Analyst at International Office Products

August 31, 2025 - August 31, 2025

Built interactive dashboards in Power BI by connecting SQL, ERP, CRM, and SAP systems, reducing reporting time by 50% and improving business visibility. Wrote and optimized SQL queries and developed ETL pipelines using Python/Power Automate to clean and validate datasets, improving refresh reliability by 70%. Collaborated with business stakeholders to define and monitor KPIs, reducing decision-making turnaround time by 40%. Integrated multi-source datasets via REST API using Python, achieving 85%+ data accuracy and supporting forecasting analysis.

Data Analyst at UniVision

July 31, 2023 - July 31, 2023

Consolidated Google Analytics, HubSpot, and SQL datasets into unified Power BI dashboards, reducing preparation time by 66%. Automated weekly analysis workflows using Python (pandas, matplotlib), saving 8+ hours per week. Performed ad-hoc analysis and presented insights to leadership, improving KPI visibility. Built data validation scripts (Python + SQL) to detect refresh anomalies, improving data integrity by 90%.