Hamza Naeem
@hamzanaeem1
Entry-level Data Analyst skilled in Power BI, SQL, and Excel driving actionable business insights.
What I'm looking for
I am an entry-level Data Analyst pursuing a B.S. in Information Technology with a passion for turning raw data into actionable business insights.
I have hands-on experience building dashboards and visualizations with Power BI and Excel, writing optimized SQL for data cleaning, joins, and aggregations, and developing data-driven reports from large sales datasets.
As a .NET Developer Intern, I contributed to full-stack projects using ASP.NET MVC, Entity Framework, SQL Server, and Vue.js, applying academic knowledge to real-world development and improving database integration and performance.
I focus on continuous learning, strong problem solving, and collaborative communication, and I am growing my skills in networking and cybersecurity while seeking opportunities to deliver measurable business impact through analytics.
Experience
Work history, roles, and key accomplishments
Data Analyst
VCONN Pvt Ltd
May 2025 - Aug 2025 (3 months)
Assisted in full-stack web application development and built data-driven features using ASP.NET MVC, Entity Framework, and SQL Server while creating responsive front-end interfaces with Vue.js and Bootstrap.
Education
Degrees, certifications, and relevant coursework
Bahria University, Karachi
Bachelor of Science, Information Technology
2022 -
Activities and societies: Projects: Amazon Sales Dashboard (Power BI), Coffee Sales Dashboard (Excel/DAX); coursework in networking and cybersecurity interests.
Pursuing a Bachelor of Science in Information Technology with coursework and projects in data analytics, Power BI, SQL, and Excel; anticipated completion in 2026.
Bahria College Karsaz, Karachi
Intermediate, Pre-university / Intermediate
2019 - 2021
Activities and societies: Project: Pizza Sales Analysis using SQL (data cleaning, joins, aggregations).
Completed pre-university studies at Bahria College Karsaz with projects involving SQL-based sales analysis and data cleaning to identify top-selling products and customer patterns.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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