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J
Juma Jamin

Juma Jamin

Healthcare Dataset Labeling (ASD Model Support)

Kenya flagKirinyaga, Kenya
$10.00/hrEntry LevelLabelboxEncordV7 Labs

Key Skills

Software

LabelboxLabelbox
EncordEncord
V7 LabsV7 Labs

Top Subject Matter

Healthcare Data & Medical Documentation
Autism Spectrum Disorder
Customer Behavioral Analytics

Top Data Types

DocumentDocument
TextText
ImageImage

Top Task Types

ClassificationClassification
Fine-tuningFine-tuning
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Function CallingFunction Calling

Freelancer Overview

Healthcare Dataset Labeling (ASD Model Support). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Kirinyaga University (2022). AI-training focus includes data types such as Document and Text and labeling workflows including Classification.

Entry LevelEnglish

Labeling Experience

Conversational Data Labeling for Chatbots

TextClassification
Annotated conversational data for building and enhancing AI chatbots, particularly for WhatsApp automation use cases. Systematically labeled user inputs and response types to improve intent recognition in NLP workflows. Maintained high-quality standards by validating label consistency across dialogue turns. • Enhanced chatbot understanding for various intents • Improved reliability for WhatsApp automation flows • Supported NLP-based classification methods • Focused on practical impact for end-user experience

Annotated conversational data for building and enhancing AI chatbots, particularly for WhatsApp automation use cases. Systematically labeled user inputs and response types to improve intent recognition in NLP workflows. Maintained high-quality standards by validating label consistency across dialogue turns. • Enhanced chatbot understanding for various intents • Improved reliability for WhatsApp automation flows • Supported NLP-based classification methods • Focused on practical impact for end-user experience

2024 - Present

Email Classification Dataset Labeling

TextClassification
Annotated a large dataset of emails by classifying messages into various categories including spam, inquiry, support, and urgent. Created structured data sets for training and improving AI-powered email automation models. Emphasized strict adherence to category definitions to assure training data quality. • Enabled downstream deployment for email classifiers • Improved support and automation workflow design • Ensured labeling disambiguation for training stability • Focused on prompt categorization for modeling

Annotated a large dataset of emails by classifying messages into various categories including spam, inquiry, support, and urgent. Created structured data sets for training and improving AI-powered email automation models. Emphasized strict adherence to category definitions to assure training data quality. • Enabled downstream deployment for email classifiers • Improved support and automation workflow design • Ensured labeling disambiguation for training stability • Focused on prompt categorization for modeling

2024 - Present

Customer Segmentation Labeling

DocumentClassification
Labeled and organized customer transaction data for behavioral segmentation and analytics. Applied classification rules to assign customers into categories such as New, Returning, and VIP. Facilitated high-quality data inputs for downstream analytics and dashboard creation. • Supported segmentation for targeted marketing analytics • Ensured consistent class definitions for high accuracy • Contributed to pipeline for business intelligence • Employed careful validation checks for reliability

Labeled and organized customer transaction data for behavioral segmentation and analytics. Applied classification rules to assign customers into categories such as New, Returning, and VIP. Facilitated high-quality data inputs for downstream analytics and dashboard creation. • Supported segmentation for targeted marketing analytics • Ensured consistent class definitions for high accuracy • Contributed to pipeline for business intelligence • Employed careful validation checks for reliability

2024 - Present

Healthcare Dataset Labeling (ASD Model Support)

DocumentClassification
Labeled healthcare-related behavioral datasets to support autism spectrum disorder (ASD) classification model development. Ensured labeling consistency and established clear rules to improve model reliability, with a focus on reducing false negatives. Prepared data for sensitive medical machine learning applications with strict data quality assurance. • Provided structured training data for ASD prediction tasks • Maintained reliability for downstream ML workflow • Emphasized accuracy due to sensitive nature • Collaborated with subject matter cues inferred from medical data

Labeled healthcare-related behavioral datasets to support autism spectrum disorder (ASD) classification model development. Ensured labeling consistency and established clear rules to improve model reliability, with a focus on reducing false negatives. Prepared data for sensitive medical machine learning applications with strict data quality assurance. • Provided structured training data for ASD prediction tasks • Maintained reliability for downstream ML workflow • Emphasized accuracy due to sensitive nature • Collaborated with subject matter cues inferred from medical data

2024 - Present

Education

K

Kirinyaga University

Bachelor of Science, Computer Science

Bachelor of Science
2022

Work History

S

Self-Directed

Machine Learning Project Lead

Kirinyaga
2024 - Present
A

Automateke

Founder & Data Automation Engineer

Kirinyaga
2024 - Present