Kenechukwu N.

Key Skills

Software

Other

LabelImg

Labelbox

Top Subject Matter

Healthcare diagnostics and medical imaging (clinical datasets)

Sentiment analysis and text-based classification

Predictive analytics and NLP for chatbot systems

Top Data Types

Image

Document

Top Task Types

Data Collection

Fine-tuning

Text Summarization

Transcription

Freelancer Overview

AI/ML Research Assistant. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include TensorFlow and Other. Education includes Bachelor of Medicine and Bachelor of Surgery, Godfrey Okoye University (2028). AI-training focus includes data types such as Medical, DICOM, and Computer Code and labeling workflows including Data Collection and Fine-tuning.

Labeling Experience

Artificial Intelligence Specialist

Fine-tuning

As an Artificial Intelligence Specialist, developed and optimized machine learning systems for business forecasting and NLP chatbot capabilities. The work included improving model efficiency and deploying AI solutions across healthcare and education contexts. Although specific labeling activities are not stated, the responsibilities align with AI training and optimization of predictive/NLP models. • Developed machine learning models for predictive analytics to improve forecasting accuracy • Built NLP-based chatbot systems that reduced customer response time • Optimized neural network architectures to reduce training time while maintaining accuracy • Collaborated with engineers and data scientists to deploy AI solutions for healthcare and education

2023 - Present

AI/ML Research Assistant

Data Collection

Served as an AI/ML research assistant supporting healthcare diagnostics and medical imaging studies with dataset-focused workflows. Assisted with tasks that effectively prepared and refined clinical data used for downstream disease prediction model development. Worked in Python/TensorFlow environments to improve research data quality and readiness for modeling. • Conducted literature reviews to inform appropriate data and labeling approaches for healthcare diagnostics • Assisted in building classification models for disease prediction using Python and TensorFlow • Analyzed clinical datasets and improved data preprocessing pipelines to enhance research accuracy • Collaborated on research dataset preparation for medical imaging and diagnostics use cases

2021 - 2022

Data Scientist Intern

OtherData Collection

Worked as a data scientist intern producing machine learning-ready outputs, including sentiment analysis modeling and automated reporting workflows. While the resume does not explicitly mention manual annotation, the role involved preparing and utilizing text data for classification. The internship supported model training outcomes through data processing and evaluation. • Developed sentiment analysis models achieving over 90% classification accuracy • Created data visualization dashboards using Python and Power BI to monitor analytical outcomes • Automated repetitive reporting tasks to streamline data-driven processes • Applied machine learning techniques in support of text-based classification results

2019 - 2021

Education

Work History