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Messo Francis

Messo Francis

Data Scientist & Machine Learning Engineer (AI/Labeling Work)

KENYA flag
Nairobi, Kenya
$9.00/hrExpertAws SagemakerAppenAxiom AI

Key Skills

Software

AWS SageMakerAWS SageMaker
AppenAppen
Axiom AI
ClickworkerClickworker
DataloopDataloop
Data Annotation TechData Annotation Tech
Google Cloud Vertex AIGoogle Cloud Vertex AI
HumanaticHumanatic
HiveMindHiveMind
Label StudioLabel Studio
Img Lab
MercorMercor
Micro1
Mighty AIMighty AI
MindriftMindrift
OneFormaOneForma
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
Scale AIScale AI
Snorkel AISnorkel AI
Surge AISurge AI
SuperviselySupervisely
Trilldata Technologies
TolokaToloka
TelusTelus
TagtogTagtog
SuperAnnotateSuperAnnotate
SlothSloth
RoboflowRoboflow
SamaSama

Top Subject Matter

Customer Churn
Business Process AI
Sentiment Analysis

Top Data Types

TextText
ImageImage
Computer Code ProgrammingComputer Code Programming

Top Task Types

Classification
Evaluation Rating
Transcription
Fine Tuning
Question Answering
Text Generation
Object Detection
Polyline
Point Key Point
Segmentation
Polygon
Data Collection
Computer Programming Coding
Prompt Response Writing SFT
Entity Ner Classification

Freelancer Overview

Data Scientist & Machine Learning Engineer (AI/Labeling Work). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Economics and Statistics, University of Nairobi (2025). AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertGermanEnglishSpanish

Labeling Experience

Data Scientist & Machine Learning Engineer (AI/Labeling Work)

TextClassification
I developed and deployed AI tools based on client requirements, handling a variety of tasks including training, evaluation, and deployment workflows. This work required building custom machine learning systems for use cases such as customer churn detection, which involved labeling and evaluation of text-based customer data. I automated manual labeling workflows to enhance efficiency and model training outcomes. • Built customer churn prediction models requiring accurate application of text-based classification algorithms. • Automated and mapped labeling workflows, reducing preprocessing and labeling time by 75%. • Developed custom Python ML tools to facilitate data intake, labeling, and training workflows. • Provided model validation and performance evaluation through labeled test sets.

I developed and deployed AI tools based on client requirements, handling a variety of tasks including training, evaluation, and deployment workflows. This work required building custom machine learning systems for use cases such as customer churn detection, which involved labeling and evaluation of text-based customer data. I automated manual labeling workflows to enhance efficiency and model training outcomes. • Built customer churn prediction models requiring accurate application of text-based classification algorithms. • Automated and mapped labeling workflows, reducing preprocessing and labeling time by 75%. • Developed custom Python ML tools to facilitate data intake, labeling, and training workflows. • Provided model validation and performance evaluation through labeled test sets.

2024 - Present

Data Science Intern (Annotation/AI Training)

TextClassification
I contributed to customer churn prediction and sentiment analysis projects involving the annotation and classification of text data. The work included labeling datasets, preparing them for classification model training, and validating the accuracy of predictive models. I participated in test case design and model evaluation stages, directly supporting labeled data performance improvements. • Labeled and prepared text datasets for customer retention and sentiment analysis models. • Used Python and SQL tools for annotating, validating, and analyzing labeled datasets. • Participated in classification pipeline optimization using labeled data for business forecasting. • Assisted in evaluation of ETL workflows that depended on accurately labeled training data.

I contributed to customer churn prediction and sentiment analysis projects involving the annotation and classification of text data. The work included labeling datasets, preparing them for classification model training, and validating the accuracy of predictive models. I participated in test case design and model evaluation stages, directly supporting labeled data performance improvements. • Labeled and prepared text datasets for customer retention and sentiment analysis models. • Used Python and SQL tools for annotating, validating, and analyzing labeled datasets. • Participated in classification pipeline optimization using labeled data for business forecasting. • Assisted in evaluation of ETL workflows that depended on accurately labeled training data.

2024 - 2024

Education

D

Data Camp

Certificate, Data Science

Certificate
2026 - 2026
U

Udacity

Certificate, AWS Machine Learning

Certificate
2025 - 2025

Work History

C

Cift Markets

Quantitative Analyst and Lead Developer

Nairobi
2025 - Present
S

Self-employed

Data Scientist and Machine Learning Engineer

Nairobi
2024 - Present