snehalkhandve
Data ScientistPune, Maharashtra, IndiaMember since June 18, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.