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Vellore Institute Of Technology
Data Scientist
June 21, 2026 – Present
promptify
April 20, 2024 – April 25, 2024
PromptifyAl is an open-source Al prompting tool for modern world to discover, create and share creative prompts
View Projectnike-landing-page
March 26, 2024 – March 26, 2024
This repository showcases a modern and stylish landing page design influenced by Nike's branding and aesthetics. This project demonstrates the utilization of Tailwind CSS, a utility-first CSS framework, to streamline the styling process and enhance development efficiency.
View ProjectModern-Bank-App
February 6, 2024 – March 26, 2024
This repository hosts the frontend code for a modern bank application developed using Tailwind CSS, a utility-first CSS framework. The application is crafted to deliver an intuitive and visually appealing user interface, enhancing the banking experience for users.
View Projectvaishnavi-portfolio
December 16, 2023 – April 25, 2024
vaishnavi-portfolio — GitHub repository
View ProjectDNA-as-data-storage
August 18, 2023 – August 18, 2023
DNA-as-data-storage — GitHub repository
View Projectunemployment-analysis
August 18, 2023 – August 18, 2023
unemployment-analysis — GitHub repository
View Projecthospital-feedback-analysis
August 18, 2023 – October 16, 2023
This project provides a guide to creating a sentiment analysis model for hospital reviews using Python. It centers around deciphering individual sentiments about various hospital aspects. Specifically, it delves into analyzing sentiments related to Pfizer hospital services using a Kaggle dataset.
View ProjectLinkedIn-Clone
July 11, 2023 – July 11, 2023
LinkedIn has many benefits over other messaging platforms in the market This project is a challenging project for beginners, the perfect project idea for intermediates and a routine project for professionals. This project uses an intermediate-advanced level of React-Redux concepts and foundational basic knowledge of Firebase databases.
View ProjectKisaan-Welfare
July 10, 2023 – July 11, 2023
This Project aims to develop a Machine Learning model that can accurately predict crop yield based on environmental and soil conditions. The model will be trained using a dataset containing historical crop yield data along with corresponding environmental and soil data.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a breadth of interests from web development to data analysis. The target role is 'Data Scientist', and several projects align with this. However, the experience level (0) and the nature of projects suggest a foundational understanding rather than senior-level expertise. The diversity of projects indicates a willingness to explore different areas, which can be a positive for cultural fit in a learning-oriented environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed experience is a future role as a Data Scientist starting in 2026, which suggests a very early career stage. No psychometric test results are available.