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Assessing your cultural and operational fit
Product-Assortment-Analysis
October 4, 2024 – October 10, 2024
This is a project for analyzing the VSP Vision product assortment analysis and to provide recommendation to Product Managers. Part of the project for Data Science for Product Managers, Carnegie Mellon.
View ProjectDistributed_Systems
June 24, 2024 – June 24, 2024
A mobile app to accept user inputs, save data in MongoDB and display user metrics on dashboard
View ProjectFakeGoldBar
April 22, 2024 – April 22, 2024
Challenge - Given 9 gold bars of the same size and look, task is to find a fake bar in the pack.
View Projectethereum-lab3-hardhat
November 20, 2023 – Present
ethereum-lab3-hardhat — GitHub repository
View Projectethereum-lab2-hardhat
October 31, 2023 – Present
ethereum-lab2-hardhat — GitHub repository
View ProjectNQuire
January 5, 2022 – February 7, 2022
A forum application for college students developed using Android Studio.
View ProjectVulnerableVM_Detection
July 20, 2021 – July 20, 2021
VulnerableVM_Detection — GitHub repository
View ProjectEspressif_Project
November 15, 2019 – July 21, 2021
Espressif_Project — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from mobile app development to blockchain and data analysis. This breadth could indicate adaptability and a willingness to explore different domains. However, the projects are primarily personal and lack details on team collaboration or impact, making a comprehensive cultural fit assessment challenging. The target role is 'Data Scientist', and while there is one relevant project ('Product-Assortment-Analysis'), the overall portfolio is quite varied, suggesting a broad technical interest rather than a focused alignment with data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.