Summary
Overview
Work History
Education
Skills
Timeline
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PRIYANSHI SAXENA

Bareilly

Summary

Data Annotation hands-on experience in Computer Vision, OCR correction, and QA validation. Proven track record of annotating over 600,000+ images using tools like CVAT, Labelbox, and improving AI models for traffic, safety, and smart city applications. Strong understanding of YOLOv5, Faster R CNN, and ML data pipelines. Passionate about quality, detail, and enhancing model accuracy through clean, high-quality datasets.

Overview

1
1
year of professional experience

Work History

Data Labelling

07.2024 - 04.2025
  • Annotated over 500,000 vehicle number plate images using CVAT with 98–99% accuracy, directly enhancing the performance of license plate recognition models.
  • Performed OCR corrections on large-scale vehicle datasets, improving text recognition accuracy by over 20% and reducing model prediction errors.
  • Labelled motorcycle riders based on occupancy (single, double, triple) and helmet use, supporting the development of traffic safety models with over 90% classification accuracy.
  • Tagged over 100,000 instances of construction safety equipment (helmets, gloves, shoes, suits), helping object detection models achieve 95%+ detection accuracy in workplace safety scenarios.
  • Annotated car occupants for seatbelt detection and visibility, improving behaviour recognition models and boosting detection precision by 18%.
  • Monitored live dashboards to track model predictions, contributing to a 25% increase in iteration speed during the ML training process.
  • Created high-quality ground truth datasets that led to measurable improvements in model training accuracy and reduced data-related errors by 30%.
  • Worked in a Linux-based environment to manage large-scale datasets, automate annotation tasks, and streamline cross-team data workflow.

Data Annotator

11.2023 - 04.2024
  • Annotated more than 75,000 images for a smart city traffic monitoring project, ensuring accurate object detection for vehicles, road signs, and pedestrians.
  • Annotated 120,000 urban scene images to train computer vision models for real-time navigation in autonomous vehicle systems, contributing to safer route planning algorithms.
  • Supported the training of object detection models by curating and structuring labelled datasets optimised for YOLOv5 and Faster R-CNN architectures.
  • Integrated feedback from data scientists and model trainers, enabling faster dataset refinement and increasing model convergence rates during training.

Education

BBA - Business Administration And Management

Mahatma Jyotiba Phule Rohilkhand University
Bareilly, India
04.2001 -

Master of Arts - Political Science And International Relations

Indira Gandhi National Open University,
Bareilly, India
04.2001 -

Skills

  • Programming languages: Python
  • Frameworks and Tools: Visual Studio Code

Timeline

Data Labelling

07.2024 - 04.2025

Data Annotator

11.2023 - 04.2024

BBA - Business Administration And Management

Mahatma Jyotiba Phule Rohilkhand University
04.2001 -

Master of Arts - Political Science And International Relations

Indira Gandhi National Open University,
04.2001 -

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