Pike Msonda

Data Scientist

https://www.opentalent.in/pike-msonda

Software Engineer

Konya, Konya Province, TurkeyMember since June 23, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'autodiagnosis-tuberculosis', 'densenet3d', and 'image-segmentation'.
Experience with Python, a core language for Data Science.
Exposure to deep learning frameworks (PyTorch implied by 'densenet3d').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of interests, from web development (PHP, Vue, HTML, CSS, JavaScript) to more specialized areas like healthcare information exchange (HIE) and machine learning. This breadth suggests adaptability and a willingness to explore different domains. The focus on personal projects indicates self-motivation and initiative, which are positive cultural fit indicators. However, without professional experience or team-based project descriptions, it's difficult to assess collaboration or specific work culture 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

instant-v2

March 14, 2022 – Present

Instantly deploy complex HIE components

View Project

platform

December 20, 2021 – Present

A platform for deploying scalable HIEs

View Project

adds_project

February 22, 2021 – March 10, 2021

adds_project — repository

View Project

densenet3d

October 18, 2020 – October 17, 2021

Densenet3D implementation using PyTorch

View Project

personel-otomasyonu

May 8, 2020 – May 30, 2020

personel-otomasyonu — repository

View Project

skin-lesion-classifier

October 10, 2019 – November 22, 2022

Will add this later

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SanalMarket

May 18, 2019 – May 18, 2019

SanalMarket — repository

View Project

assignments

March 26, 2019 – March 26, 2019

assignments — repository

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image-segmentation

January 14, 2019 – November 22, 2022

A set of image segmentation methodologies

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autodiagnosis-tuberculosis

November 11, 2018 – November 22, 2022

Autodiagnosis of Tuberculosis using AlexNet

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'autodiagnosis-tuberculosis', 'densenet3d', and 'image-segmentation'.
Experience with Python, a core language for Data Science.
Exposure to deep learning frameworks (PyTorch implied by 'densenet3d').

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.

Pike Msonda

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit