amaan qazi
@amaanqazi
I validate structured data and build machine learning models for real-world AI impact.
What I'm looking for
At Simply.TV, I review and validate high volumes of structured content information, ensuring accuracy, completeness, consistency, and correct categorization.
I apply defined guidelines and independent judgment to identify inaccurate, incomplete, and ambiguous records. I flag uncertain cases, collaborate remotely when clarification is needed, and maintain organized digital records across internal systems.
Previously, at Archroma Pakistan Limited, I collected, reviewed, and validated business data for sales and operational reporting. I cleaned and standardized datasets in Excel and Power Query, transforming raw information into consistent formats for recurring reports.
My academic work in AI, big data, data mining, and database systems includes a credit card fraud detection project using Logistic Regression, Random Forest, XGBoost, and SMOTE. I'm interested in contributing to real-world AI that creates an impact.
Experience
Work history, roles, and key accomplishments
Metadata Editor
Simply.TV
Mar 2026 - Present (5 months)
Review and validate high volumes of structured content information for accuracy, completeness, consistency, and correct categorization. Apply defined guidelines and careful judgment to identify inaccurate, incomplete, or ambiguous records.
Sales Data Analyst Intern
Archroma Pakistan Limited
Jan 2025 - Apr 2025 (3 months)
Collected, reviewed, and validated business data from multiple sources to support accurate sales and operational reporting. Cleaned and standardized datasets using Excel and Power Query, identifying missing, inconsistent, and incorrectly structured information before analysis.
Education
Degrees, certifications, and relevant coursework
Taylor's University
Bachelor of Business, Digital Marketing & Analytics
Grade: CGPA: 3.36/4.00
Pursued a Bachelor of Business (Hons) in Digital Marketing & Analytics with a CGPA of 3.36/4.00. Coursework included Principles of Artificial Intelligence, Big Data Management, and Data Visualization.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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