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Assessing your cultural and operational fit
skin-cancer-detection-assignment
May 5, 2024 – May 5, 2024
Skin Cancer Detection Assignment
View Projecturine_test_color_extract_api
June 23, 2023 – June 29, 2023
The Urine Strip Color Extraction API project provides analysis of urine test strip results by extracting and interpreting color data.
View ProjectOrderEase
February 11, 2023 – June 29, 2023
The Order and Payment microservice built with NestJS and RabbitMQ offers seamless order management and secure payment processing for enhanced e-commerce experiences. Also have file upload feature using GridFS
View Projectrandomize
February 23, 2022 – February 23, 2022
Generate random male and female names, random integers etc :sparkles: First package made for learning purpose 🤓
View Projectnextjs-dapp-template
January 3, 2022 – October 2, 2022
NextJS template to start your web3 project
View ProjectSolidity
November 9, 2021 – October 27, 2023
Algorithms and data structures implemented in Solidity
View ProjectDEV-NFT
November 8, 2021 – March 11, 2024
DevNFT aim for Encode x Filecoin Accelerator and Dev Dapp Starter Grant - This project was born on BUIDL IT Hackathon x Polygon.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse, indicating a self-starter attitude and willingness to explore various technical domains. However, the target role is 'Data Scientist', and while there are relevant projects, the overall portfolio is very broad, including significant web3 and general web development. This broad focus might indicate a lack of deep specialization in data science, which could impact cultural fit for a focused data science team. The absence of team projects or professional experience makes it hard to assess collaboration and alignment with team-oriented cultures.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills such as problem-solving approach, collaboration, or communication style. Operational fit cannot be fully determined without more detailed information on project contributions and team dynamics.