Key Skills

Software

Google Cloud Vertex AI

AWS SageMaker

Mercor

Top Subject Matter

Review SQl Queries

Top Data Types

Document

Video

Image

Top Task Types

Classification

Segmentation

Object Detection

Freelancer Overview

As a final-year Data Analytics student, I have built a robust technical foundation in processing, cleaning, and structuring complex datasets for machine learning applications. My proficiency in Python, SQL, and data manipulation libraries like Pandas and NumPy enables me to efficiently transform raw, unstructured information into high-quality training data. Beyond standard database management, my active focus on machine learning and data science principles has given me a deep appreciation for the critical role that accurate data annotation and preprocessing play in model performance. I approach data quality with a highly analytical mindset, utilizing strong problem-solving and critical thinking skills to ensure that every dataset I handle is rigorously validated and primed for algorithmic consumption. My practical project work directly translates to the demands of AI data training and labeling workflows. Through hands-on experience developing a Sentiment Analysis API and building NLP models for code bug detection, I have navigated the nuances of text data, including semantic categorization and precise feature extraction. Furthermore, engineering data visualization systems and writing scripts to scrape and process real-time web data has sharpened my ability to manage large-scale data ingestion and verify data integrity on the fly. By combining my technical expertise in programming and database architectures like MySQL and MongoDB, I am exceptionally well-positioned to contribute to AI training initiatives, ensuring that models are trained on accurate, well-labeled, and unbiased datasets

Labeling Experience

Education

Work History