Meshack K.

Key Skills

Software

CVAT

Top Subject Matter

Water crisis analysis

Nlp Domain Expertise

AI/ML data pipelines

Top Data Types

Text

Image

Audio

Top Task Types

Entity (NER) Classification

Bounding Box

Transcription

Classification

Freelancer Overview

Data Analytics Trainee (Text Annotation & NER). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and CVAT. Education includes Bachelor of Science, Murang’a University of Technology (2022) and Diploma, Data to Information College (2023). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Bounding Box, and Transcription.

Labeling Experience

Labeling Specialist – Water Crisis Dataset Project

Classification

As part of the Water Crisis Dataset project at ALX Africa, I labeled and annotated over 28 million structured records. Tasks involved applying category tags, quality-score labels, and geographic entity tags for AI/ML downstream usage. I produced QA dashboards to visualize and track annotation progress. • Annotated structured/tabular datasets for classification and ML model input • Applied category and geographic tags for data enrichment • Generated SQL-driven annotation QA reports and Power BI dashboards • Ensured annotation guideline compliance across large, multi-modal datasets.

2025 - 2025

Data Analytics Trainee (Audio Transcription & Segmentation)

AudioTranscription

I performed audio transcription and segmentation as a Data Analytics Trainee for diverse AI/ML projects. My role included diarizing speakers and validating transcription quality under strict guidelines. All transcription work met >95% inter-annotator agreement standards. • Transcribed and segmented audio data for AI speech analysis • Applied speaker diarization and quality control processes • Used Excel and Python for annotated data handling • Delivered 95%+ annotated data accuracy for project deliverables.

2025 - 2025

Data Analytics Trainee (Image/Video Annotation)

CVATImageBounding Box

During my training at ALX Africa, I conducted image and video annotation tasks for AI/ML projects. My tasks involved drawing bounding boxes and ensuring data consistency and annotator agreement. I used Python, Excel, and annotation tools to annotate and validate visual data. • Labeled image and video data for detection and tracking tasks • Used bounding box techniques for object annotation and validation • Followed structured annotation guidelines and documentation • Monitored labeling progress with quality reports and dashboards.

2025 - 2025

Data Analytics Trainee (Text Annotation & NER)

TextEntity (NER) Classification

As a Data Analytics Trainee at ALX Africa, I performed high-accuracy text annotation for AI/ML pipelines. My responsibilities included sentiment labeling, category classification, and entity recognition on large-scale NLP datasets. I ensured annotated data quality and consistency through structured guidelines and documented schemas. • Labeled and cleaned multi-source text datasets using Python and Excel • Executed entity recognition and classification on NLP data for the Maji Ndogo project • Produced annotation QA reports and data-driven dashboards in Power BI • Ensured inter-annotator agreement and maintained over 95% quality standards.

2025 - 2025

Labeling Specialist – House Price Prediction Project

Classification

I curated, cleaned, and labeled a 10,000+ record dataset for a house price prediction AI model project. The work focused on annotating key features and validating label consistency for supervised machine learning. My quality checks ensured high reliability and usability of the training dataset. • Labeled features and handled missing data in structured housing records • Coordinated data QA and ensured label consistency for ML tasks • Used Python, Pandas, and Scikit-learn for dataset processing and annotation • Supported a regression algorithm achieving 90% prediction accuracy.

2024 - 2024

Education

Work History