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Assessing your cultural and operational fit
MachineLearning
April 11, 2021 – May 31, 2021
This repository contains machine learning models made by me using regression, classification and tools such as numpy, pandas, matplotlib, scikit learn, etc.
View ProjectLOC3.0_CodeX
March 20, 2021 – March 26, 2021
A Virtual Clinic for Online Consultation made with MERN (MongoDB, Express, React, Node), GraphQL, Leaflet.js, WebSocket, WebRTC and React Native. Made during a hackathon (1st Position)
View ProjectT013_Masterbridge
September 25, 2020 – October 2, 2020
T013_Masterbridge — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of technologies, including web development (MERN stack, React Native) and some exposure to machine learning. While the 'MachineLearning' project directly aligns with the Data Scientist role, the majority of projects are focused on general software development. This breadth indicates adaptability but also a potential lack of deep specialization in data science. The candidate's experience level is 0, suggesting a junior profile for a senior role, which might impact cultural fit in a senior-level team requiring immediate impact.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills like collaboration, communication, or leadership. The hackathon project suggests initiative and teamwork, but further evidence is needed. Operational fit is hard to determine without more detailed project roles or work experience.