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Data Science & Analytics || SDE
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Assessing your cultural and operational fit
Vellore Institute of Technology
Data Science
June 13, 2026 – Present
YourCompanion
September 3, 2023 – September 9, 2023
🔮 Your Companion, powered by GPT-3.5 Turbo, offers natural conversations, distress detection 🆘, and secure audio transcription 🎙️. Elevate your user experience with our AI chatbot!
View ProjectRepoSavant
September 1, 2023 – October 7, 2023
Powered by Python, GPT, and LangChain, it delves into GitHub profiles 🧐, rates repos using diverse metrics 📊, and unveils code intricacies. Perfect for developers, recruiters, and managers to explore the nuances of their codebase! 💻🌟
View ProjectDialogix-AI
August 12, 2023 – August 12, 2023
🧠 Dialogbox-AI: Unleash intelligent conversations with our Python-powered chatbot using GPT-3.5 via streamlit. Explore the future of natural language interaction! 🌐🗣️
View ProjectZombie-Detector
June 18, 2023 – August 2, 2023
🧟 Zombie Detector Web App 📊 Predicts survival chances in a zombie apocalypse scenario. 🌍 Prepare yourself for the undead with tips and resources. 🔮 Built with Flask, scikit-learn, and JavaScript. 🖥️ Deployed on a web server. 💻 Join the fight against the walking dead! 💪
View ProjectTrashTech
May 12, 2023 – July 15, 2024
TrashTech ♻️🗑️ is a Flask project powered by deep learning that classifies waste items into seven categories. It encourages recycling ♻️🌍 and promotes reuse ♻️🔨 by providing creative ideas for repurposing waste materials. TrashTalk aims to inspire individuals to take action and contribute to a cleaner, greener planet. 🌱🌎
View ProjectSenal
May 12, 2023 – August 31, 2023
📊🔎 SenaL is a Flask-based sentiment analysis tool that provides a user-friendly interface to analyze the sentiment of text. Powered by Vader sentiment analysis, SenaL accurately determines the sentiment polarity of social media texts, tweets, captions, comments, and more.
View ProjectDBMS
March 31, 2022 – April 10, 2022
It Consists the SQL Queries in MySQL of Lab Activity Questions.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which involve AI/ML and data analysis, aligning with a Data Science role. The diversity of projects (from GitHub analysis to zombie detection and waste classification) suggests curiosity and a willingness to explore different problem domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to conceptualize and implement ideas, but collaboration, problem-solving approach, and communication style are not evident.