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Analytics || Data Science || Machine Learning. I aim to become a Full Stack Data Scientist to help businesses make data-driven decision making.
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Assessing your cultural and operational fit
Ecotiva
Data Scientist
June 24, 2026 – Present
Thesis-on-Carbon-Emission-Prediction
October 14, 2025 – Present
Predicting Emissions using Different ML Models from Engine Size, Cylinder Count and Fuel Efficiency
View ProjectUpdated-Carbon-Sustainability-Software
November 15, 2023 – November 15, 2023
This app was created as a prototype to assist the Ecotiva developer team to guide them how to develop a best carbon emission footprint calculator to offset emission in Africa.
View ProjectSepsis_Classification_Machine_Learning_API_using_FastAPI
May 17, 2023 – July 10, 2023
Sepsis_Classification_Machine_Learning_API_using_FastAPI — repository
View ProjectBasic-Concept-of-Semi-supervised-ML
December 5, 2022 – December 5, 2022
This repository briefly explains semi-supervised ML and some of its algorithms
View ProjectCultural Fit Analysis
The candidate's projects show an interest in diverse applications of data science, including environmental sustainability (Carbon-Sustainability-Software, Thesis-on-Carbon-Emission-Prediction) and healthcare (Sepsis_Classification_Machine_Learning_API_using_FastAPI, CAREaiWELSH). This diversity suggests a potential for adaptability and interest in varied problem domains, which could contribute positively to cultural fit. However, the descriptions are brief, limiting a deeper assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.