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Winnie A.

Winnie A.

AI Research Associate – Nairobi Tech Hub (NLP data/model preparation)

Kenya flagNairobi, Kenya

Key Skills

Software

No software listed

Top Subject Matter

Multilingual customer support NLP for AI assistance
Agricultural monitoring via drone imagery computer vision
Financial risk assessment data preparation for predictive ML

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Object DetectionObject Detection
Data CollectionData Collection

Freelancer Overview

AI Research Associate – Nairobi Tech Hub (NLP data/model preparation). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Master of Science in Artificial Intelligence, University of Nairobi and Bachelor of Science in Computer Science, Kenyatta University. AI-training focus includes data types such as Text, Image, and Document and labeling workflows including Classification, Object Detection, and Data Collection.

Labeling Experience

AI Research Associate – Nairobi Tech Hub (vision pipeline data labeling)

ImageImageObject DetectionObject Detection

Built computer vision pipelines using drone imagery to support agricultural monitoring use cases. Created or supported labeled training datasets aligned to detection-style computer vision tasks. Ensured the prepared image data could be used to train and evaluate vision models for field observations. • Supported image/data preparation for agricultural monitoring. • Labeled or structured visual data for computer vision learning workflows. • Checked label consistency for improved training reliability. • Integrated the resulting vision pipeline into practical monitoring workflows.

2023 - Present

AI Research Associate – Nairobi Tech Hub (NLP data/model preparation)

TextTextClassificationClassification

Developed and iterated NLP/text classification workflows for multilingual customer support data. Applied labeling and training-friendly preparation steps to support model learning for real-world support scenarios. Focused on structuring text examples to improve predictive performance and consistency of outputs. • Cleaned and normalized multilingual text inputs. • Prepared labeled datasets for supervised learning use cases. • Validated dataset quality for downstream model training. • Coordinated with teams to integrate model-ready data into enterprise pipelines.

2021 - Present

Data Scientist – Kilifi Digital Solutions (ML data preparation for training)

DocumentDocumentData CollectionData Collection

Automated data pipelines and prepared datasets used for predictive modeling in financial risk assessment. Performed dataset organization steps that are typically required to support supervised training and evaluation. Improved data readiness by reducing manual processing and enabling reliable model inputs. • Curated and assembled structured datasets for risk modeling. • Automated reporting/data preparation for model training inputs. • Supported workshop-driven AI literacy that emphasized data/model readiness concepts. • Ensured consistency of data used across predictive workflows.

2021 - 2023

Education

K

Kenyatta University

Bachelor of Science in Computer Science, Computer Science

Bachelor of Science in Computer Science
Not specified
U

University of Nairobi

Master of Science in Artificial Intelligence, Artificial Intelligence

Master of Science in Artificial Intelligence
Not specified

Work History

N

Nairobi Tech Hub

AI Research Associate

Nairobi
2023 - Present
K

Kilifi Digital Solutions

Data Scientist

Kilifi
2021 - 2023