Idris Baba

Data Scientist

https://talent.gravityer.com/idris-baba

Passionate about Geo-Spatial Data Science.

University College London( Student)

Key Strengths

Demonstrated interest in Data Science and Geospatial analysis through personal projects.
Experience with Jupyter Notebook, Python, R, and various web technologies (HTML, CSS, JavaScript) indicates a foundational technical toolkit.
Master's level education in Urban Spatial Science at University College London suggests a strong analytical background relevant to data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards geospatial data science and urban planning, which aligns with analytical roles. However, the lack of diverse project types or team-based work makes it difficult to fully assess cultural fit beyond technical interest. The candidate's experience level is listed as 0, and the only listed 'experience' is as a student, which suggests a very junior profile. This might not be a strong fit for a senior Data Scientist role without significant upskilling and demonstrated professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

Geospatial-Data-Engineering-Associate-Certification-Cohort-2-

February 10, 2026 – Present

Geospatial-Data-Engineering-Associate-Certification-Cohort-2- — GitHub repository

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Decarbonisation-Abuja

October 19, 2025 – November 7, 2025

This project explores strategies for decarbonising urban transport in low- and middle-income countries through a spatial analysis of Abuja, Nigeria. Using open geospatial data and gravity-based modelling, it maps travel demand and emissions to support more sustainable mobility planning.

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London_Burglary

September 19, 2025 – September 19, 2025

This repository investigates the burglary cases in London borough from 2022-2024

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Accident_Prediction

April 13, 2025 – September 10, 2025

Accident_Prediction — GitHub repository

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xaringan-presentation

April 2, 2025 – April 4, 2025

xaringan-presentation — GitHub repository

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Idrisbaba.github.io

March 10, 2025 – April 4, 2025

Idrisbaba.github.io — GitHub repository

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SICDJ

March 4, 2025 – March 24, 2025

Remote Sensing Presentation

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Urban_Simulation

February 2, 2025 – February 2, 2025

This repository includes methodologies like spatial interaction models and networks to simulate urban system processes, including flows like commuting and agent relationships. This knowledge stems from my Master’s in Urban Spatial Science at University College London.

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GIS_projects

October 27, 2024 – November 12, 2024

GIS_projects — GitHub repository

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fsds

October 15, 2024 – February 12, 2025

fsds — GitHub repository

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Key Strengths

Demonstrated interest in Data Science and Geospatial analysis through personal projects.
Experience with Jupyter Notebook, Python, R, and various web technologies (HTML, CSS, JavaScript) indicates a foundational technical toolkit.
Master's level education in Urban Spatial Science at University College London suggests a strong analytical background relevant to data science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Idris Baba

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit