Daniel Brian

Data Scientist

https://talent.gravityer.com/daniel-brian

👉Do what Excites you😀. Building things I am passionate about🛠

Central Kenya

Key Strengths

Demonstrated experience with Python for data science projects (LeafGuard-Model, Python-Programming, The-Sparks-Foundation-Data-Science-Project).
Familiarity with Jupyter Notebook for data analysis and model development.
Experience with deep learning (CNN architecture in LeafGuard-Model) relevant to data science.
Exposure to both supervised and unsupervised machine learning concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a mix of data science, web development (web3-buy-button), and blockchain (Stable-Market-Backend, StableBase-Contracts). While this demonstrates diverse interests, it also suggests a lack of focused specialization towards the 'Data Scientist' target role. The majority of projects are personal, with limited information on collaborative efforts or team contributions. The Omdena apprenticeship project is mentioned but lacks detail on specific contributions or outcomes.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

webflyx

June 17, 2026 – Present

just boots!

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web3-buy-button

January 21, 2026 – Present

web3-buy-button — repository

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Stable-Market-Backend

January 17, 2026 – Present

A project to showcase the use of my smart contracts and an sdk to abstract the smart contract's logic

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stablebase-go-sdk

December 30, 2025 – Present

Golang sdk for stablebase

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StableBase-Contracts

December 1, 2025 – Present

EVM smart contracts for the StableBase

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LeafGuard-Model

February 5, 2025 – Present

LeafGuard, a plant Classification model, is a deep learning model designed for plant disease classification. The model is trained to identify various plant diseases based on images of leaves. It utilizes a Convolutional Neural Network (CNN) architecture to process and classify plant images into predefined categories.

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Xpress-App

June 20, 2024 – July 31, 2024

A comprehensive car maintenance information management system designed for my bachelor's project. This app tracks and schedules vehicle maintenance tasks, records service history, and provides timely reminders to ensure optimal vehicle performance and longevity.

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Python-Programming

August 19, 2022 – July 10, 2024

This notebook will help you polish your python knowledge with some cool projects.

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Omdena-Apprenticeship-project

August 11, 2022 – August 11, 2022

This is part of my contribution to the Omdena apprenticeship program .

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The-Sparks-Foundation-Data-Science-Project

June 19, 2022 – June 19, 2022

This project documents both the supervised and unsupervised Machine Learning projects that I did during my Internship at the Sparks Internship

View Project

Key Strengths

Demonstrated experience with Python for data science projects (LeafGuard-Model, Python-Programming, The-Sparks-Foundation-Data-Science-Project).
Familiarity with Jupyter Notebook for data analysis and model development.
Experience with deep learning (CNN architecture in LeafGuard-Model) relevant to data science.
Exposure to both supervised and unsupervised machine learning concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Daniel Brian

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit