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Erick Okuto

Lead Consultant: Odas Data Solutions | Nairobi, Kenya

Kenya flagNairobi, Kenya
$50.00/hrExpertOpencv AI Kit OakAws Sagemaker

Key Skills

Software

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
AWS SageMakerAWS SageMaker

Top Subject Matter

Public Health
Climate Resilience
Agriculture Domain Expertise

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Lead Consultant: Odas Data Solutions | Nairobi, Kenya. Brings 15+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, Jaramogi Oginga Odinga University of Science and Technology (2016) and Master of Science, University of Nairobi (2013). AI-training focus includes data types such as Text, Geospatial, and Tiled Imagery and labeling workflows including Classification.

ExpertEnglish

Labeling Experience

Lead Consultant: Odas Data Solutions | Nairobi, Kenya

TextClassification
Provided advanced analytics, AI/MLOps modeling, and evidence-based advisory services across various sectors, including public health, climate resilience, agriculture, and governance. Led predictive modeling and implemented performance analytics frameworks that supported machine learning workflows involving labeled data. Delivered professional training in Data Science, AI, statistical computing, and research analytics for institutions and corporate clients. • Designed and implemented Monitoring, Evaluation, Accountability & Learning (MEAL) systems utilizing labeled datasets for model training and evaluation. • Mentored postgraduate students and junior researchers in data annotation, analysis, visualization, and interpretation. • Utilized R, Python, STATA, SPSS, MySQL, and other business intelligence tools for annotation, modeling, and analytics tasks. • Developed interactive dashboards featuring annotated or classified data for decision-support tools.

Provided advanced analytics, AI/MLOps modeling, and evidence-based advisory services across various sectors, including public health, climate resilience, agriculture, and governance. Led predictive modeling and implemented performance analytics frameworks that supported machine learning workflows involving labeled data. Delivered professional training in Data Science, AI, statistical computing, and research analytics for institutions and corporate clients. • Designed and implemented Monitoring, Evaluation, Accountability & Learning (MEAL) systems utilizing labeled datasets for model training and evaluation. • Mentored postgraduate students and junior researchers in data annotation, analysis, visualization, and interpretation. • Utilized R, Python, STATA, SPSS, MySQL, and other business intelligence tools for annotation, modeling, and analytics tasks. • Developed interactive dashboards featuring annotated or classified data for decision-support tools.

2025 - Present

Research Fellow / Statistical Programmer – Climate Change Unit, World Agroforestry Centre (ICRAF) | Nairobi, Kenya

Classification
Programmed and managed large-scale satellite and climate datasets, ensuring data integrity, cleaning, harmonization, and reproducibility with R. Downloaded, processed, and integrated remote sensing and climate data for statistical and environmental modeling involving labeled geospatial data. Developed statistical workflows and optimized data systems to enhance analysis of labeled climate change data. • Conducted vegetation index and climate variability analyses, annotating and classifying geospatial features. • Supported national climate assessment processes through labeled satellite imagery. • Used R to build reproducible pipelines for geospatial data annotation and classification. • Contributed annotated geospatial data to scientific publications and policy planning.

Programmed and managed large-scale satellite and climate datasets, ensuring data integrity, cleaning, harmonization, and reproducibility with R. Downloaded, processed, and integrated remote sensing and climate data for statistical and environmental modeling involving labeled geospatial data. Developed statistical workflows and optimized data systems to enhance analysis of labeled climate change data. • Conducted vegetation index and climate variability analyses, annotating and classifying geospatial features. • Supported national climate assessment processes through labeled satellite imagery. • Used R to build reproducible pipelines for geospatial data annotation and classification. • Contributed annotated geospatial data to scientific publications and policy planning.

2014 - 2016

Data Specialist & R Statistical Programmer – Climate Change Unit, World Agroforestry Centre (ICRAF) | Nairobi, Kenya

Classification
Developed and maintained R scripts for data cleaning, validation, transformation, and statistical analysis of climate and household survey datasets, including labeled geospatial features. Designed automated data quality assurance workflows to improve accuracy of annotated and classified datasets. Managed structural databases for labeled data to support modeling, forecasting, and performance analysis. • Built and programmed digital data collection tools (ODK, KoBoToolbox) to collect and classify geospatial and survey data. • Supervised large-scale field data operations involving labeled datasets. • Trained data handlers and field teams on labeling protocols and annotated data management. • Supported climate research and reporting with labeled data for statistical modeling.

Developed and maintained R scripts for data cleaning, validation, transformation, and statistical analysis of climate and household survey datasets, including labeled geospatial features. Designed automated data quality assurance workflows to improve accuracy of annotated and classified datasets. Managed structural databases for labeled data to support modeling, forecasting, and performance analysis. • Built and programmed digital data collection tools (ODK, KoBoToolbox) to collect and classify geospatial and survey data. • Supervised large-scale field data operations involving labeled datasets. • Trained data handlers and field teams on labeling protocols and annotated data management. • Supported climate research and reporting with labeled data for statistical modeling.

2012 - 2014

Education

J

Jaramogi Oginga Odinga University of Science and Technology

Doctor of Philosophy, Applied Statistics

Doctor of Philosophy
2016 - 2016
U

University of Nairobi

Master of Science, Biometry

Master of Science
2013 - 2013

Work History

O

Odas Data Solutions

Lead Consultant

Nairobi
2025 - Present
J

Jaramogi Oginga Odinga University Of Science And Technology

Centre Establishment Lead

Nairobi
2025 - Present