Kimani Kanyutu P.

Data Scientist

https://talent.gravityer.com/kimani-kanyutu-p

Biomedical Engineer | Data Scientist & Machine Learning Enthusiast

Nairobi, Nairobi, Kenya

Key Strengths

Demonstrated interest in data analysis through multiple personal projects.
Experience with Jupyter Notebook for data science tasks.
Basic understanding of Python and SQL as evidenced by project descriptions.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show an interest in data science and analysis, which aligns with a Data Scientist role. The diversity of topics (health, suicide rates, IT salaries, computer vision) indicates a broad curiosity. However, the projects are described as 'basic' or 'practice projects', suggesting an early stage of development rather than senior-level contributions. The lack of team projects or collaborative experience makes it difficult to assess cultural fit beyond individual initiative.

Soft Skills & Operational Fit

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

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Projects

Global-Health-Analysis

September 28, 2023 – September 28, 2023

This repository is an analysis of global health based on infant mortality, fertility and life expectancy explicitly using excel

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Suicide-Rate-Analysis

September 18, 2023 – September 18, 2023

This repository is an analysis of suicide rates between 1985 to 2016

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OpenCV-Face-and-Eye-Detection

September 5, 2023 – September 5, 2023

This is a project to detect both the face and the eyes in openCV using the Haarcascade template. It's a practice project from an udemy course I am pursuing on Computer Vision

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Maternal-Health-Risk-Level-Assessment

September 1, 2023 – September 5, 2023

This repository is a basic data science project to classify the risk level of expectant mothers based on a number of vitals recorded using IoT devices.

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Python-Basics-and-SQL

March 3, 2023 – March 3, 2023

This repository contains basics of python array and SQL joins

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EDA-IT-Salary-survey

February 20, 2023 – February 20, 2023

This is an exploratory data analysis code on the IT Salary Survey in EU

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KimKanyutu

October 6, 2021 – October 6, 2021

Config files for my GitHub profile.

View Project

Key Strengths

Demonstrated interest in data analysis through multiple personal projects.
Experience with Jupyter Notebook for data science tasks.
Basic understanding of Python and SQL as evidenced by project descriptions.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Kimani Kanyutu P.

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit