Karachi, Pakistan

Ahtisham Syed

Data Analyst — Turning Raw Data into Actionable Insights.

View Projects Download CV

About.

Final-year Industrial Electronics Engineering student at IIEE Karachi, self-taught in Python, SQL, Power BI, and Tableau through real-world projects.

I love digging into messy datasets to surface the business insights hiding inside — from stock-market trends to e-commerce profitability.

Open to remote and Karachi-based Data Analyst opportunities.

Skills.

Languages

  • Python
  • SQL
  • MATLAB

BI & Visualization

  • Power BI
  • Tableau
  • Excel

Libraries

  • pandas
  • matplotlib
  • seaborn

Tools

  • MySQL
  • DAX
  • Power Query
  • Git

Projects.

Selected work across EDA, BI dashboards, and SQL analytics.

KSE-100 Pakistan Stock Exchange Analysis preview

KSE-100 Pakistan Stock Exchange Analysis

13-year analysis of Pakistan Stock Exchange using Python EDA, SQL window functions (LAG, Moving Average, Drawdown), and a 3-page Power BI dashboard. Key finding: 10x growth from 3,600 to 36,000 points.

PythonSQLPower BIpandas
GitHub Live
Pakistani E-Commerce — Power BI Dashboard preview

Pakistani E-Commerce — Power BI Dashboard

3-page interactive dashboard analyzing 732 orders for a Pakistani home decor store. DAX measures revealed 37% profit margin and COD dominance at 53.66%.

Power BIDAXPower QueryExcel
GitHub Live
Pakistan Ecommerce — Excel + Tableau preview

Pakistan Ecommerce — Excel + Tableau

Analysis of 500,000+ real Pakistani ecommerce transactions. Built 3 Excel pivot tables and published an interactive Tableau dashboard showing Mobiles dominate at 2400M+ PKR revenue.

ExcelTableauPower Query
GitHub
Superstore Sales — Python + SQL Analysis preview

Superstore Sales — Python + SQL Analysis

Connected MySQL to Python to answer 5 business questions on 9,694 rows using advanced window functions. Found Technology earns 9.6x more profit than Furniture.

PythonMySQLpandasSQLAlchemy
GitHub
Superstore Sales — Python EDA preview

Superstore Sales — Python EDA

End-to-end EDA on 9,800+ retail records. Cleaned data, detected outliers using IQR, built 4 visualizations revealing Q4 seasonality and 11.7% high-value order concentration.

Pythonpandasmatplotlibseaborn
GitHub

Certifications.

  • HEC Generative AI Training — Top Performer

    Pak Angels, 2026

  • Data Analytics Job Simulation

    Deloitte Australia, Forage

  • Introduction to AI

    Google, 2025

Let's build something insightful.

Open to remote and Karachi-based Data Analyst roles.

syedahtisham25@gmail.com LinkedIn GitHub