Pole Pole

Key Skills

Software

Appen

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Video

Audio

Medical Dicom

Top Task Types

Classification

Bounding Box

Polygon

Point Key Point

Segmentation

Emotion Recognition

Tracking

Transcription

Freelancer Overview

I am a data-driven analytics specialist with over 7 years of experience leading data annotation, labeling, and AI training data initiatives within complex HR and people analytics domains. My background includes managing large-scale annotation projects for NLP-based HR chatbots, designing quality assurance pipelines to validate labeled datasets, and building executive dashboards and predictive models using advanced SQL, Python, Tableau, and Workday Analytics. I have successfully led cross-functional teams to create and maintain high-quality datasets that power AI tools for talent management, sentiment analysis, and workforce planning. My expertise spans the full data lifecycle, from dataset creation and QA to integrating labeled data into AI-driven solutions, with a focus on delivering actionable insights for business impact.

Labeling Experience

High Precesion Multimodal Data Annotation for Computer Vision Models

LabelboxVideoBounding BoxSegmentation

Executed high-accuracy video data labeling and annotation for large-scale computer vision and AI training projects. Tasks included drawing bounding boxes, polygons, and keypoints for object detection and classification, as well as performing frame-by-frame tracking in video sequences. Ensured labeling consistency and accuracy through structured QA workflows and adherence to project guidelines. Collaborated with AI engineers to optimize dataset quality for autonomous vehicle and multimodal machine learning applications.

Executed high-accuracy video data labeling and annotation for large-scale computer vision and AI training projects. Tasks included drawing bounding boxes, polygons, and keypoints for object detection and classification, as well as performing frame-by-frame tracking in video sequences. Ensured labeling consistency and accuracy through structured QA workflows and adherence to project guidelines. Collaborated with AI engineers to optimize dataset quality for autonomous vehicle and multimodal machine learning applications.

2024

Senior People Analytics Analyst – Data Annotation & QA Management

AppenTextClassification

As Senior People Analytics Analyst at Google, I managed large-scale data annotation projects focused on HR chatbots and NLP workforce tools. I designed quality assurance (QA) pipelines to validate labeled datasets for AI talent tools, ensuring data accuracy and consistency. My role involved coordinating annotation teams and developing best practices for workforce-related data labeling workflows. • Oversaw annotation of conversational text for HR chatbot development • Implemented QA standards and resolved data consistency issues • Developed workforce NLP dataset curation processes • Mentored junior analysts in annotation best practices

As Senior People Analytics Analyst at Google, I managed large-scale data annotation projects focused on HR chatbots and NLP workforce tools. I designed quality assurance (QA) pipelines to validate labeled datasets for AI talent tools, ensuring data accuracy and consistency. My role involved coordinating annotation teams and developing best practices for workforce-related data labeling workflows. • Oversaw annotation of conversational text for HR chatbot development • Implemented QA standards and resolved data consistency issues • Developed workforce NLP dataset curation processes • Mentored junior analysts in annotation best practices

2022

High Precesion Multimodal Data Annotation for Computer Vision Models

LabelboxImageBounding BoxPoint Key Point

Executed high-accuracy data labeling and annotation for large scale multimodal datasets supporting computer vision and AI model training. Tasks included creating bounding boxes, polygons, and keypoints for object detection, performing frame by frame tracking in video sequences, and classifying as well as transcribing visual data. Collaborated on datasets involving street scenes, human activities, and general object categories, ensuring strict adherence to annotation guidelines and maintaining over 95% labeling accuracy.

Executed high-accuracy data labeling and annotation for large scale multimodal datasets supporting computer vision and AI model training. Tasks included creating bounding boxes, polygons, and keypoints for object detection, performing frame by frame tracking in video sequences, and classifying as well as transcribing visual data. Collaborated on datasets involving street scenes, human activities, and general object categories, ensuring strict adherence to annotation guidelines and maintaining over 95% labeling accuracy.

2021 - 2024

People Data Analyst – Employee Sentiment Annotation

LabelboxTextBounding BoxPolygon

As People Data Analyst at IBM, I was responsible for annotation and labeling of employee survey sentiment datasets. This involved structuring feedback text for use in AI-driven analytics and improving hiring processes. I contributed to the integration of survey analytics into HR technologies through accurate sentiment labeling. • Led annotation of employee sentiment data for training models • Collaborated in integrating labeled data into Workday Analytics • Used SQL and Python for automated data pipelines • Helped develop standards for survey dataset labeling

As People Data Analyst at IBM, I was responsible for annotation and labeling of employee survey sentiment datasets. This involved structuring feedback text for use in AI-driven analytics and improving hiring processes. I contributed to the integration of survey analytics into HR technologies through accurate sentiment labeling. • Led annotation of employee sentiment data for training models • Collaborated in integrating labeled data into Workday Analytics • Used SQL and Python for automated data pipelines • Helped develop standards for survey dataset labeling

2020 - 2022

High Precesion Multimodal Data Annotation for Computer Vision Models

LabelboxAudioBounding BoxTracking

Performed detailed audio data labeling and annotation to support speech recognition and natural language processing model development. Tasks included segmenting and tagging sound events, tracking speaker changes, and aligning transcriptions with audio segments. Ensured high accuracy and consistency through quality control checks using Labelbox for annotation management.

Performed detailed audio data labeling and annotation to support speech recognition and natural language processing model development. Tasks included segmenting and tagging sound events, tracking speaker changes, and aligning transcriptions with audio segments. Ensured high accuracy and consistency through quality control checks using Labelbox for annotation management.

2019 - 2020

Show more

Education

Work History