Olayinka Yusuf

Data Scientist

https://talent.gravityer.com/olayinka-yusuf

Data Scientist | Geoscientist | Statistics Tutor Skilled in Power BI, Excel, SQL, Python. Exploring insights from data to drive decisions

Lagos, Nigeria

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Time Series Analysis and Forecasting, relevant for data scientist roles.
Exposure to Machine Learning and Computer Vision projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on data analysis and machine learning, aligning with a Data Scientist role. The diversity of project topics (food inflation, crop classification, flu prediction, housing prices, banking, retail sales) indicates a broad interest in applying data science across various domains. However, the lack of team projects or collaborative experience makes it difficult to assess cultural fit beyond individual technical alignment.

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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Assessing your cultural and operational fit

Projects

NIGERIA-NSE-STOCK-PROJECT-PLAN

June 7, 2026 – Present

NIGERIA-NSE-STOCK-PROJECT-PLAN — GitHub repository

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TS_Academy_Capstone_Project

February 24, 2026 – Present

Food Basket Cost & Food Inflation Forecasting | A Time Series Analysis & Forecasting System for Household Food Security

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Crop-Classification-Computer-Vision-Project-

February 5, 2026 – Present

Crop-Classification-Computer-Vision-Project- — GitHub repository

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Flu-Shot-Vaccine-Prediction

February 5, 2026 – Present

Flu-Shot-Vaccine-Prediction — GitHub repository

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Machine-Learning

December 14, 2025 – December 22, 2025

Machine-Learning — GitHub repository

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Sleep-Disorder-Prediction-Machine-Learning-Project

December 8, 2025 – December 8, 2025

Sleep-Disorder-Prediction-Machine-Learning-Project — GitHub repository

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Housing-Prices-in-Mexico-City-CDMX-

December 8, 2025 – December 8, 2025

This project analyzes residential housing prices in Mexico City (CDMX) using a dataset sourced from Kaggle. The dataset reflects property values during a period when the Mexican Peso traded at approximately 18.80 MXN per 1 USD, providing contextual grounding for price interpretation.

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Banking-FinanceSQL

June 23, 2025 – June 23, 2025

SQL Projects on Banking and Finance

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NeflixSQL

June 23, 2025 – June 23, 2025

Netflix SQL Data Analysis Project

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SQL_ReatailSalesAnalysis

June 17, 2025 – June 23, 2025

SQL_ReatailSalesAnalysis — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Time Series Analysis and Forecasting, relevant for data scientist roles.
Exposure to Machine Learning and Computer Vision projects.

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.

Olayinka Yusuf

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit