Ango Jeffrey

Data Scientist

https://talent.gravityer.com/ango-jeffrey

Software engineer

Lagos, NigeriaMember since June 21, 2026

Key Strengths

Demonstrated interest in AI/ML through the 'ANPR-SYS' project (Automatic Number Plate Recognition System) using Jupyter Notebook, which aligns with the Data Scientist role.
Exposure to various programming languages (TypeScript, Kotlin, JavaScript, Ruby, Objective C) indicates adaptability, though depth in data science specific languages is not explicitly shown.
Experience with web development technologies (TypeScript, CSS, JavaScript, Astro, HTML) suggests a broad technical foundation, potentially useful for deploying data science models or building interactive dashboards.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is entirely personal, indicating a strong self-starter and passion for building. The diversity of projects, from web development to a basic AI system, suggests a broad interest in technology. However, the direct alignment with a senior Data Scientist role is limited, as most projects are not data science-centric. The 'ANPR-SYS' project is a positive indicator for cultural fit within a data-driven environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The provided data primarily focuses on technical projects.

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Assessing your cultural and operational fit

Projects

agent-skills

May 30, 2026 – Present

skills for ai agents

View Project

nebula-pdf-engine

April 5, 2026 – Present

Nebula PDF Engine: A fast, lightweight, JSX-driven PDF generator with a smart layout engine, automatic pagination, and first-class table support. No Chromium required.

View Project

jay-portfolio-v2

March 28, 2026 – Present

jay-portfolio-v2 — repository

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mailmaker

March 8, 2026 – Present

MailMaker AI is a modern, web-based email template builder designed to help users create responsive, high-quality emails without writing code.

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countries

June 18, 2025 – June 18, 2025

countries — repository

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rideeasy-sample

June 12, 2025 – June 12, 2025

rideeasy-sample — repository

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zap_frontend

June 9, 2025 – Present

zap_frontend — repository

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transferxpress

August 7, 2024 – September 15, 2024

Send money to anywhere in the world

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ANPR-SYS

August 4, 2021 – August 5, 2021

Automatic Number Plate Recognition System

View Project

Ango-Jay

December 23, 2020 – Present

Ango-Jay — repository

View Project

Key Strengths

Demonstrated interest in AI/ML through the 'ANPR-SYS' project (Automatic Number Plate Recognition System) using Jupyter Notebook, which aligns with the Data Scientist role.
Exposure to various programming languages (TypeScript, Kotlin, JavaScript, Ruby, Objective C) indicates adaptability, though depth in data science specific languages is not explicitly shown.
Experience with web development technologies (TypeScript, CSS, JavaScript, Astro, HTML) suggests a broad technical foundation, potentially useful for deploying data science models or building interactive dashboards.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The provided data primarily focuses on technical projects.

Ango Jeffrey

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit