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Hi, I’m Muhammad Ayaz, a data analyst who excels at transforming complex datasets into actionable insights using SQL, Python, and Power BI. I enjoy data cleaning, exploratory analysis, and turning findings into clear, story-driven dashboards that support data-driven decision making. Based in Rome, Italy, I’ve worked across the full data analysis lifecycle—from data collection and ETL to visualization and stakeholder storytelling. I thrive in cross-functional teams and enjoy presenting complex information in a concise, engaging way to drive business growth and operational efficiency.…Hi, I’m Muhammad Ayaz, a data analyst who excels at transforming complex datasets into actionable insights using SQL, Python, and Power BI. I enjoy data cleaning, exploratory analysis, and turning findings into clear, story-driven dashboards that support data-driven decision making. Based in Rome, Italy, I’ve worked across the full data analysis lifecycle—from data collection and ETL to visualization and stakeholder storytelling. I thrive in cross-functional teams and enjoy presenting complex information in a concise, engaging way to drive business growth and operational efficiency.

Muhammad Ayaz

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Hi, I’m Muhammad Ayaz, a data analyst who excels at transforming complex datasets into actionable insights using SQL, Python, and Power BI. I enjoy data cleaning, exploratory analysis, and turning findings into clear, story-driven dashboards that support data-driven decision making. Based in Rome, Italy, I’ve worked across the full data analysis lifecycle—from data collection and ETL to visualization and stakeholder storytelling. I thrive in cross-functional teams and enjoy presenting complex information in a concise, engaging way to drive business growth and operational efficiency.…Hi, I’m Muhammad Ayaz, a data analyst who excels at transforming complex datasets into actionable insights using SQL, Python, and Power BI. I enjoy data cleaning, exploratory analysis, and turning findings into clear, story-driven dashboards that support data-driven decision making. Based in Rome, Italy, I’ve worked across the full data analysis lifecycle—from data collection and ETL to visualization and stakeholder storytelling. I thrive in cross-functional teams and enjoy presenting complex information in a concise, engaging way to drive business growth and operational efficiency.

Available to hire

Hi, I’m Muhammad Ayaz, a data analyst who excels at transforming complex datasets into actionable insights using SQL, Python, and Power BI. I enjoy data cleaning, exploratory analysis, and turning findings into clear, story-driven dashboards that support data-driven decision making.

Based in Rome, Italy, I’ve worked across the full data analysis lifecycle—from data collection and ETL to visualization and stakeholder storytelling. I thrive in cross-functional teams and enjoy presenting complex information in a concise, engaging way to drive business growth and operational efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Italian

Beginner

Urdu

Fluent

Work Experience

Data Analyst Intern at AIN GenX

June 1, 2025 - June 1, 2025

Cleaned and transformed data from APIs and relational databases using Python and Power Query, improving data integrity for analysis. Conducted exploratory data analysis (EDA) to identify key trends and presented findings to stakeholders, influencing strategic planning. Developed interactive Power BI dashboards to track KPIs, reducing the time spent on manual reporting by 25%.

E-Commerce Data Analyst at Swift Cart USA

December 1, 2024 - December 1, 2024

Managed end-to-end data analysis for an Amazon FBA business, increasing profitability by 15% through data-driven pricing and inventory strategies. Built automated dashboards in Power BI to monitor sales and inventory KPIs, reducing time spent on manual reporting by 30%. Optimized product listing strategies through analysis of sales performance and market data, improving conversion rates by 12%. Developed a demand forecasting model in Excel, reducing stock-outs by 20% and minimizing excess inventory.