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Aamir Ali Data-Analysis-Portfolio

Hi, I'm Mohammad Aamir Ali Nomani! I come from a technical background in Computer Science and have over 6 years of professional experience in Data Analysis, ETL development, and data pipeline engineering. My journey spans industries including finance, HR, and enterprise systems, where Iโ€™ve held roles like Data Engineer, ETL Test Engineer, and currently, Data Analyst at a UK-based tech company.

I specialize in transforming raw data into meaningful insights using tools like Python, SQL, Informatica PowerCenter, Tableau, Power BI, and Dataiku. I'm also experienced with cloud platforms like GCP and Azure, and passionate about building scalable data solutions that drive business decisions.

๐Ÿ’ก Certifications: Tableau Certified Data Analyst, Informatica PowerCenter Integration Developer, ISTQB

๐Ÿ“ˆ Tools & Tech: Python, SQL, Power BI, Tableau, Dataiku, Azure, GCP

๐Ÿ” Methodologies: Agile, SDLC, Data Quality, Data Warehousing

This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.

Portfolio Projects

Detailed, end-to-end projects that illustrate real-world use cases and technical competencies:

Financial-Inclusion Data Pipeline & Analytics

Built an ETL pipeline in Python and SQLite

Processed and visualised income data across East Africa using Seaborn/Matplotlib

Showed relationships between education, income, and banking

Credit Scoring & Risk Analysis

Developed feature-engineered workflow in Python and SQL

Built Tableau dashboards highlighting approval trends and risk metrics

HR Attrition Analysis with Power BI

Cleaned data in Python, visualized turnover insights in Power BI

Created report identifying attrition drivers for management

๐Ÿ“ Each project folder includes Jupyter notebooks, SQL scripts, and interactive dashboard files.

Education

Bachelor of Technology in Computer Science & Engineering from Punjab Technical University.

About

This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.

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