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Data scientist @ MuSigma. Android & Full-Stack web developer of the past
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ibm-ai-spec-capstone
October 29, 2021 – October 29, 2021
ibm-ai-spec-capstone — GitHub repository
View Projectdistributed-scoring
July 11, 2020 – November 23, 2020
This is a utility code base that will enable distributed scoring on spark engine on big datasets over exported standard model objects, added features includes performing data preparation for feature input to the model
View Projecttitanic-ensemble
June 13, 2020 – June 13, 2020
Notebook implementing Ensemble learning using Titanic Dataset. On Kaggle at: https://www.kaggle.com/prejithp/titanic-a-journey-through-imperfections
View Projectnumpy-walkthrough-notebook
June 2, 2020 – June 4, 2020
A small notebook to give any reader a quick walkthrough on the capabilities of numpy
View Projectopenml-notebooks
May 30, 2020 – May 30, 2020
Notebooks being created as part of the OpenML courses
View ProjectSmartitude_PlayStore
June 29, 2019 – October 2, 2021
:pencil2: :orange_book: A smart test making application solving the problem of conducting aptitude training for students.
View Projectsmartitude-app-main
January 30, 2019 – November 10, 2019
:pencil2: :orange_book: A smart test making application solving the problem of conducting aptitude training for students.
View ProjectAngel-Hack-Website
July 28, 2018 – May 5, 2019
The website SpeeBuy is an online e-commerce webiste's landing page which we have developed as part of an international hackathon, Angel Hack
View Projecttodo-react
June 24, 2018 – July 15, 2018
Web application developed using React, Redux and Firebase for creating and maintaining a basic todo list. Made while pursuing internship training at Rufora Web in 2017.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of web development and data science related projects. While there are projects aligned with a Data Scientist role (e.g., titanic-ensemble, distributed-scoring, ibm-ai-spec-capstone), the overall diversity suggests a broad interest rather than a focused deep dive into data science. The experience level is listed as 0, which, combined with the project types, indicates a foundational stage in their career. This might require significant mentorship and integration into a senior data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.