Samuel O.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Python and Machine Learning (AI training)

Banking Risk Modeling (AI model training)

Customer Segmentation (AI model training)

Top Data Types

Text

Document

Top Task Types

Classification

Function Calling

Question Answering

Emotion Recognition

Freelancer Overview

Python and Machine Learning Instructor (GTBank Tech Academy, Ecobank Tech Academy, Optimus Bank, Providus Bank, BluePrim. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Microsoft Azure, and Other. Education includes Bachelor of Science, Federal University of Agriculture Abeokuta (2022). AI-training focus includes data types such as Text and labeling workflows including Computer Programming, Coding, and Evaluation.

Labeling Experience

END to END ChatWithPDF (Personal Project)

OtherTextQuestion Answering

Built a document-grounded chat experience that allows users to ask questions across multiple documents. Used a large language model to analyze documents and generate natural conversational responses. Delivered a conversational interface simulating discussion of document content. • Enabled multi-document question answering. • Leveraged Gemini to generate response text grounded in documents. • Implemented chat-style interaction for iterative Q&A. • Produced responses in natural language aligned to document content.

2024 - 2024

END to END Text to SQL (Personal Project)

OtherTextFunction Calling

Developed an end-to-end system that converts natural language questions into executable SQL queries. Used a large language model to infer user intent and produce correct SQL syntax for retrieving data from a relational database. Enabled users to query structured data through natural language interfaces. • Translated user intent into SQL query structure. • Used Gemini Pro for NL-to-SQL generation. • Validated generated SQL for retrieval against relational data. • Built an NL interface for database querying.

2024 - 2024

Product Recommendation Model (Wema Bank)

OtherTextClassification

Contributed to building a product recommendation system using recommendation techniques in Python. Implemented integration into the bank’s application via APIs and connected model outputs to customer subscription likelihood. Supported deployment of an operational recommendation workflow for a banking environment. • Developed recommendation logic to suggest relevant products/services. • Implemented and tested Python-based recommendation components. • Integrated the system into production via banking APIs. • Supported end-to-end recommendation delivery to customers.

2023 - 2024

Customer Segmentation Model (Banking Finance)

TextClassification

Created and deployed a customer segmentation model to support targeted marketing and improved customer profiling. Used Azure services and Python to build models and integrate outputs into banking systems. Enabled consumption of segmentation results for subsequent marketing and product use cases. • Built customer segmentation models using Python. • Deployed models using Microsoft Azure infrastructure. • Integrated segmentation outputs into bank application workflows. • Supported downstream targeting and profiling use cases.

2022 - 2024

Loan Delinquency Model (Banking Finance)

Text

Developed and deployed predictive classification models for loan delinquency using advanced machine learning. Built workflows to support model-based inference across banking datasets and evaluation settings to improve risk prediction outcomes. Enabled downstream usage by deploying the model for production application. • Built ML classification models for loan default prediction. • Worked with multi-bank banking data to train and validate models. • Deployed the predictive solution for practical operational use. • Performed feature engineering and model tuning for better accuracy.

2022 - 2024

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Education

Work History