Pranav Kumar Jha

Key Skills

Software

Clickworker

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Label Types

Classification

Object Detection

Segmentation

Action Recognition

Freelancer Overview

I am a Computer Science graduate with hands-on experience as a Data Engineer intern, where I built and optimized ETL pipelines in Databricks to process large-scale datasets and integrated data from diverse sources for analytical and machine learning use cases. My work involved ensuring data quality, reliability, and compliance through automated validation workflows and maintaining structured datasets for downstream applications. I am skilled in Python, SQL, and various developer tools, and I have developed multiple projects that required real-time data handling, API integration, and user-friendly data presentation. My technical background and attention to data integrity enable me to contribute effectively to data labeling, annotation, and AI training data initiatives.

Labeling Experience

Data annotation

AppenVideoSegmentationAction Recognition

Used to label the segments of video

Used to label the segments of video

2025

AI Data Labeler – Clickworker

ClickworkerImageClassificationObject Detection

I performed data labeling and annotation tasks to support the training and evaluation of AI models. My role focused on reviewing and categorizing content while maintaining high standards of accuracy, consistency, and guideline adherence. Additionally, I contributed to the overall improvement of AI understanding through quality-driven labeling work. • Carefully categorized and annotated text data according to outlined standards. • Reviewed labeled content for quality assurance and reliability. • Executed repetitive labeling tasks with high accuracy across diverse projects. • Supported the development and fine-tuning of AI models with well-labeled datasets.

I performed data labeling and annotation tasks to support the training and evaluation of AI models. My role focused on reviewing and categorizing content while maintaining high standards of accuracy, consistency, and guideline adherence. Additionally, I contributed to the overall improvement of AI understanding through quality-driven labeling work. • Carefully categorized and annotated text data according to outlined standards. • Reviewed labeled content for quality assurance and reliability. • Executed repetitive labeling tasks with high accuracy across diverse projects. • Supported the development and fine-tuning of AI models with well-labeled datasets.

2025

Education

Work History