Key Skills

Software

AWS SageMaker

Appen

Data Annotation Tech

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Document

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Cuboid

Data Collection

Emotion Recognition

Entity Ner Classification

Evaluation Rating

Fine Tuning

Object Detection

Prompt Response Writing SFT

Question Answering

RLHF

Segmentation

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am an experienced data scientist and AI/ML engineer with over five years of hands-on experience working with data labeling, annotation, and the creation of high-quality AI training datasets across domains such as fintech, education, e-commerce, and IT operations. My expertise spans the end-to-end data pipeline, from data collection and preprocessing to annotation, leveraging tools and libraries like Python, Pandas, NumPy, Scikit-learn, XGBoost, Graph Neural Networks, and Hugging Face Transformers for both structured and unstructured data. I have developed and deployed machine learning models for fraud detection, text analytics, and image classification, including leading projects that required meticulous data preparation and labeling to ensure robust model performance. My work in building centralized databases, managing ETL pipelines, and collaborating with cross-functional teams has given me a strong foundation in ensuring data quality, consistency, and compliance. I am passionate about using data-driven approaches to solve real-world problems and am committed to delivering accurate, well-annotated datasets that power ethical and effective AI solutions.

Labeling Experience

Education

Work History