Muhammad Zeeshan Siddiqui
AI/ML Solutions | Full-Stack | Data Analytics
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Muhammad Zeeshan is building their profile!
A 4-page interactive Power BI dashboard built from a 700+ row raw e-commerce dataset, covering sales, customer, product, and fulfillment performance in a single connected report.
Diagnosed and resolved 6+ distinct data-quality issues in Power Query across 16 columns, including inconsistent text casing, mixed date formats, currency-formatted price strings, duplicate records, and null placeholders, ensuring accurate downstream reporting.
Engineered 6+ DAX measures (Revenue, Total Orders, Average Order Value, Total Customers) to drive dynamic KPI cards and cross-filtered visuals, and designed a custom navigation home page linking all four analytical views into a single click.
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An exploratory data analysis of 8,000+ Netflix titles using Python and Pandas, cleaning and preparing categorical and numerical fields for downstream analysis.
Applied 10+ Pandas techniques, including grouping, filtering, aggregation, sorting, string manipulation, and type conversion, to surface trends across content type, ratings, and release timing.
Produced 6 Matplotlib visualizations covering content type distribution, ratings, movie durations, release trends, and country-level content, then published the complete analysis on GitHub.
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A full-stack, QR-code based library management system featuring student self-issue/return workflows and real-time administrative metrics.
Integrates with dynamic QR APIs to generate barcodes for books and student library passes, enabling quick scanning for issuing and returning assets.
The loan tracker calculates return latency fees automatically based on customizable date thresholds, updating record logs inside a relational MySQL schema.
check it out on project section : https://zeeshan-siddiqui-portfolio.vercel.app/
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FinancePro is a full-stack finance tracking application designed to help users budget, monitor expenses, and manage active balance sheets with a secure MySQL database.
Built with a focus on data integrity, the Express.js server processes records securely using parametrized queries. The system provides immediate balance tallies based on transactions.
The layout incorporates dynamic cards highlighting active accounts, customized categories (e.g. utilities, dining, study), and linear graphs tracing weekly savings trends.
check it out on my Portfolio:https://zeeshan-siddiqui-portfolio.vercel.app/
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