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Aleeza-Sheikh/README.md

Hi, I'm Aleeza Sheikh 👋

Data Analyst | Python • Pandas • SQL • Excel I turn messy, real-world datasets into clean, reliable, decision-ready insights.

📍 Hyderabad, Pakistan  |  💼 Open to Data Analyst roles  |  🔗 LinkedIn

🛠️ Technical Skills

Python Pandas NumPy SQL (SQLite) Excel Git & GitHub Data Cleaning Exploratory Data Analysis Data Visualization

📌 Featured Project

Decodelab Data Analytics Portfolio A 4-project portfolio from the DecodeLabs internship, covering the full analyst workflow — data auditing, exploratory analysis, SQL, and sales performance reporting.

Data Audit & Cleaning — resolved 6 data quality issues on a transactional dataset, achieving a 0% duplicate rate and 0% date-format error rate, with a formal change log Outlier Detection & Revenue Drivers — compared IQR vs. Z-Score outlier detection on 1,200 orders, identified a legitimate VIP customer segment, and found revenue is driven by order volume, not price SQL Analysis — designed a relational schema and wrote business-facing SQL queries covering revenue, fulfillment, and payment trends Sales Performance Analysis — flagged that cancelled + returned orders exceeded successful deliveries (45%+ of all orders), and identified Instagram and Email as top acquisition channels

🎯 Current Focus

Building a Power BI / Tableau dashboard project to pair with my Python and SQL work, and sharpening advanced SQL (window functions, joins across multiple tables).

📫 Let's Connect

LinkedIn: linkedin.com/in/aleeza-sheikh-744337339 Email: available on request via LinkedIn

Committed to turning messy data into business-ready assets.

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  1. Aleeza-Sheikh Aleeza-Sheikh Public

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  2. Decodelab-data-analytics-portfolio Decodelab-data-analytics-portfolio Public archive

    Data analytics portfolio from the DecodeLabs internship — data auditing, EDA, SQL, and sales analysis using Python, Pandas, and SQL.

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  3. NextGen-Learners-Applicants-Data-Cleaning NextGen-Learners-Applicants-Data-Cleaning Public

    🧹 Cleaning a real-world messy dataset with pandas — missing values, duplicates, text standardization & dtype fixes

    Jupyter Notebook