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This sentiment analysis model utilizes a Transformer architecture to classify text sentiment into positive, negative, or neutral categories with high accuracy. It preprocesses text data, trains the model on the IMDB dataset, and effectively predicts sentiment based on user input.

Jupyter Notebook 82.51% Python 12.78% HTML 4.71%

text-classification-transformer-model-'s Introduction

🚀 Hi, Nice to see you Here!

📞 Contact Information

Address: Indirapuram, Ghaziabad, 201014
Email: [email protected]
LinkedIn: 🧲
Kaggle: 🧲

🎓 Education

Bachelor of Technology in Information Technology JSS Academy of Technical Education, U.P. (Aug. 2019 – May 2023)

Relevant Coursework

Data Structures
Machine Learning
Deep Learning
Database Management
Artificial Intelligence
Data Analysis
Data Visualization
Natural Language Processing (NLP)

💼 Experience

Techoon IT Solutions

AI/ML Developer Intern ✨ Noida, UP | April 2024 – Current

Developing Chatbots and application using Custom data - Langchain, RAG & LLMs
Analyzing Datasets and Building ML/DL Models
Working on Generative AI Projects

Quaintel Research

Research Analyst 📊 Bangalore, KA - Remote | May 2023 – Current

Conducted market research and provided insights about market trends.
Utilized Excel, Google Analytics, and OpenAI for effective data analysis.

Kaholas

NLP Engineer Intern 🤖 Delhi, DL | Nov 2022 – Feb 2023

Executed NLP algorithms for text classification and sentiment analysis.
Collaborated with the development team to reduce project development time.

Maxgen Technologies

Data Analyst Intern 🔍 Remote, DL | Apr 2022 – Jul 2022

Analyzed data and built predictive models using Python.
Created interactive dashboards in PowerBI.

💻 Technical Skills

Languages: Python, R, C++, PHP, HTML/CSS, SQL
Developer Tools: Anaconda, VS Code, Google Cloud Platform, Jupyter, Apache Hadoop, KNIME, Excel, MS Azure
Technologies/Frameworks: AWS, Amazon Machine Learning (AML), Amazon Redshift, Linux, GitHub

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