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Fine Tuning

Freelancer Overview

I am passionate about working with data to drive impactful solutions, with hands-on experience in data analysis, processing, and validation. I have processed and validated large datasets—over 20,000 academic records—using Excel and Python, ensuring high standards of accuracy and consistency, which are critical in data labeling and AI training data workflows. My projects include customer segmentation using RFM analysis and retail analytics with demand forecasting, where I handled and analyzed 100,000+ records, developed actionable insights, and built dashboards in Power BI for visualization. I am proficient in Python, SQL, Pandas, NumPy, and data visualization tools, and have a strong foundation in machine learning concepts such as supervised and unsupervised learning, regression, classification, and clustering. My attention to detail and commitment to data quality make me well-suited for roles involving data annotation, labeling, and preparing reliable datasets for AI applications.

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