Hi, I’m Muhammad Afzal, a data analyst based in Lahore, Pakistan. I specialize in SQL, Python, Excel, and data visualization, and I’ve worked with large datasets, cleaned messy data, and built reports that help teams make better decisions. I enjoy exploring trends, creating dashboards, and explaining insights in simple terms. I also bring a background in data engineering and cloud data tools and am focused on analysis and business reporting.

Muhammad Afzal

Hi, I’m Muhammad Afzal, a data analyst based in Lahore, Pakistan. I specialize in SQL, Python, Excel, and data visualization, and I’ve worked with large datasets, cleaned messy data, and built reports that help teams make better decisions. I enjoy exploring trends, creating dashboards, and explaining insights in simple terms. I also bring a background in data engineering and cloud data tools and am focused on analysis and business reporting.

Available to hire

Hi, I’m Muhammad Afzal, a data analyst based in Lahore, Pakistan. I specialize in SQL, Python, Excel, and data visualization, and I’ve worked with large datasets, cleaned messy data, and built reports that help teams make better decisions.

I enjoy exploring trends, creating dashboards, and explaining insights in simple terms. I also bring a background in data engineering and cloud data tools and am focused on analysis and business reporting.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent
Urdu
Fluent
Panjabi, Punjabi
Fluent

Work Experience

Data Analyst at Hyly.AI
October 1, 2024 - Present
Data Analyst (Previous Data Engineering Role Adapted) – Worked with large datasets in Databricks and BigQuery to support reporting needs. Cleaned and transformed data using SQL and Python to prepare it for analysis. Helped business teams understand trends by creating clear summaries and visual reports. Improved data quality by validating fields, tracking anomalies and documenting fixes.
Data Analyst / Data Engineer at Aastra Technologies
December 1, 2022 - April 1, 2024
Built datasets used in Power BI reports that reduced reporting time by 35%. Supported business teams by preparing clean, structured data for dashboards. Helped design reporting layers with clearly defined metrics and definitions. Assisted with data validation, trend checks and root-cause analysis.
Developer & Data Analyst at INTIGRIA Consultant
February 1, 2019 - September 1, 2022
Cleaned and analyzed SQL Server data to support reporting requirements. Developed small analytical reports and dashboards for internal teams. Identified data quality issues and improved reliability of key metrics.

Education

MS Mathematics & Computing at Birkbeck, University of London
January 11, 2030 - December 24, 2025
BS Computer Science at University of East London
January 11, 2030 - December 24, 2025

Qualifications

Power BI (Beginner – Intermediate)
January 11, 2030 - December 24, 2025
IBM Data Analysis with Python
January 11, 2030 - December 24, 2025
Azure Data Engineer Associate
January 11, 2030 - December 24, 2025

Industry Experience

Software & Internet, Professional Services
    paper SaaS KPI Dashboard – Revenue, Growth & Churn Analytics

    Built an end-to-end SaaS analytics solution starting from raw, messy data. Performed data cleaning and validation using Python and SQL, defined KPI logic for MRR, churn, and customer growth, and designed an executive-level dashboard to support data-driven decision-making. Documented data assumptions, quality limitations, and edge case handling to ensure reliable and transparent reporting.