Victor M.

Key Skills

Software

Don't disclose

Sama

CloudFactory

Top Subject Matter

Natural Language Processing (NLP)

sentiment analysis

predictive text analytics

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Object Detection

Text Summarization

Fine-tuning

Evaluation/Rating

Classification

Segmentation

Prompt + Response Writing (SFT)

Tracking

Freelancer Overview

Machine Learning Analytics Coordinator / Document Specialist – Sama (AI Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Sama and CloudFactory. Education includes Bachelor of Science, Kirinyaga University. AI-training focus includes data types such as Document and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Data Scientist and Microsoft 365 Domain Specialist - Cloudfactory

DocumentTracking

Responsible for designing, testing, and executing statistical data analysis models and feature evaluation pipelines that improved internal data tracking and operational workflow efficiencies. Develops and refines programmatic prompt scripts and macro-enabled analytical frameworks in Excel and Word to automate high-dimensional data manipulation. Evaluates, cross-validates, and scores large-scale dataset outputs and machine learning artifacts across strict quality dimensions while maintaining version-controlled technical documentation and delivering clear reporting to stakeholders. • Build statistical analysis and feature evaluation pipelines for tracking and optimization • Automate high-dimensional data manipulation with Excel/Word macros and prompt scripts • Perform multi-dimensional evaluation and scoring across 16 quality dimensions • Collaborate via Microsoft Teams and communicate results through reports and dashboards

2024 - Present

Data Scientist / Microsoft 365 Domain Specialist – CloudFactory (Remote)

CloudFactoryDocumentPrompt + Response Writing (SFT)

Developed and refined structured prompt scripts and macro-enabled analytical frameworks to automate high-dimensional data manipulation used in AI training workflows. Evaluated, cross-validated, and scored large-scale dataset outputs and machine learning artifacts across multiple strict quality dimensions to optimize fine-tuning parameters. Maintained version-controlled technical documentation and communicated evaluation findings through reports and dashboards to stakeholders.• Built multi-variate evaluation metrics and visualization dashboards for predictive findings.• Scored artifacts against 16 quality dimensions to maximize fine-tuning optimization.• Conducted statistical analysis and feature evaluation pipeline work to improve data tracking and workflow efficiency.• Collaborated remotely via Microsoft Teams while maintaining rigorous documentation of algorithm and configuration changes.

2024 - Present

Data Analyst & Machine Learning Practitioner (NLP text analytics focus)

Don't discloseTextEntity (NER) Classification

Applied NLP techniques for text processing and sentiment analysis as part of machine learning workflow development. Built and evaluated models to support classification and analytics tasks using real-world text datasets. Transformed raw text into features for model training and experimentation, including common text-analytics preprocessing. • Text tokenization and TF-IDF feature preparation • Sentiment analysis for downstream classification objectives • Exploratory analysis to validate text data quality and signal • Iterative model development for predictive performance

2019 - Present

Machine Learning Analytics Coordinator / Document Specialist – Sama (AI Remote)

SamaDocument

Coordinated AI training and evaluation workflows by performing data validation, quality assurance checks, and ground-truth alignment for remote data science pipelines. Authored and delivered performance validation reports and technical presentations based on model trend analysis from labeled/verified data. Enforced data privacy, customer isolation, and regulatory governance boundaries during the validation process.• Managed verification layers to ensure 100% adherence to organizational service-level agreements.• Built documentation and standards for globally distributed engineering operations.• Used advanced Excel analytics to interpret model trends for validation reporting.

2022 - 2023

Education

Work History