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Hello, I'm

Taraka Ramarao

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About Me

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graduation

2020 - 2024

Bachelor's Degree

Computer Science and Engineering

GMR Institute of Technology

Intermediate

2017 - 2019

Intermediate

MPC

Sri Chaitanya Junior College

I'm passionate about Data Science and Problem Solving

- 🌱 I am actively seeking employment opportunities in the data science field.
- πŸ‘¨β€ I graduated with a Bachelor of Technology degree from GMR Institute of Technology.
- πŸ”­ Areas of Interest: Machine Learning, Deep Learning, Natural Language Processing, and OpenCV.
- 🀝 Talk to me about Data Science and DSA.

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Years of Experience

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Projects Completed

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Internships Completed

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Coding Profiles

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Skills

C C
C++ C++
Python Python
Java Java
Pandas Pandas
Numpy Numpy
Scikit-Learn Scikit-Learn
Flask Flask
Streamlit Streamlit
TensorFlow TensorFlow
Keras Keras
Jupyter Jupyter
VS Code VS Code
SQL SQL
MySQL MySQL
Stack Overflow Stack Overflow
Git Git
GitHub GitHub

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Projects

Project 1

Movie Recommendation System

The Movie Recommendation System is a sophisticated tool designed to offer personalized movie suggestions based on user preferences. It leverages machine learning techniques and the TMDB (The Movie Database) API to provide accurate and engaging recommendations.

Project 2

Open Information Extraction

Created a flexible Open Information Extraction system that handles a variety of input formats, such as text, documents (PDF, Word), and URLs. This system is designed to perform a range of tasks, including Text Summarization, Named Entity Recognition (NER), and Question Answering.

Project 3

Visual Question Answering System

Developed a Visual Question Answering (VQA) system that integrates image analysis with natural language processing. This system can interpret and answer questions about the content of images by leveraging advanced computer vision and deep learning techniques

Project 4

Brain Tumor Detection Using Hybrid Deep Learning

Developed a hybrid deep learning model for accurate brain tumor detection. This system combines convolutional neural networks (CNNs) with advanced techniques such as transfer learning and ensemble methods to analyze medical imaging data.

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