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Saqib Ali Javed
GitHub

Saqib Ali Javed

@Saqib-Data-Analyst

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About

Data Analyst | SQL, Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit), Power Bi, MS Excel, Tableau. Turning data into decisions.

Location Lahore, Pakistan
Followers 2
Following 0
Public Repositories 10
Expertise

Skills & Technologies

Python
GitHub Work

Projects & Repositories

Recent public projects and repositories from this profile.

Power-Bi-Repo

No project description available.

⭐ 0 Forks: 0
Repository View Project

Ecommerce-Sales-Dashboard

Power BI Ecommerce Sales Dashboard for tracking key business performance. Visualizes Sales, Profit, and Quantity across State, Category, and Payment Mode. Quickly analyze monthly trends and top performers to drive strategic decisions.

⭐ 1 Forks: 0
Repository View Project

Sale-Analysis-Dashboard

Interactive Sales Analysis Dashboard built in Power BI. Analyzes sales, profit, quantity, and discounts by region, segment, sub-category, and state. Includes KPI cards, time-based trends (2018–2021), and dynamic filters for business insights and performance monitoring.

⭐ 0 Forks: 0
Repository View Project

Syntecxhub-week-3_Data_Science_Internship

Python

COVID-19 Data Analysis project as part of a data science internship. Includes data cleaning, country-level comparisons, visualization of top infected countries, and export of summary metrics. Contains Python script, chart, and snapshot-based insights.

⭐ 0 Forks: 0

Syntecxhub-week-2_Data_Science_Internship

Python

This project analyzes mock Amazon India sales data (2025). It uses Pandas and Matplotlib for comprehensive EDA, focusing on time series trends (Line Charts) and category performance (Bar and Pie Charts). Charts are formatted to ensure clean display of large INR values.

⭐ 0 Forks: 0

Syntecxhub-week-1_Data_Science_Internship

Python

Week 1 tasks for my Data Science Internship at SyntecxHub. Includes NumPy fundamentals (arrays, operations, reshaping, performance) and Pandas data analysis (CSV loading, summary stats, filtering, exporting). Code organized into two projects.

⭐ 0 Forks: 0