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Hi 👋, I'm Rahul Jauhari

Student at Birla Institute of Technology & Science Pilani, Hyderabad Campus

  • 🎓 I'm currently pursuing a Bachelor's degree in Computer Science at BITS PILANI, HYDERABAD CAMPUS.

  • 🌱 I'm enthusiastic about learning and applying data science techniques to real-world problems.

  • 💼 I'm actively seeking internship or job opportunities in the field of data science.

  • 📫 You can reach me via email at [email protected] or connect with me on https://www.linkedin.com/in/rahuljauhari/.

Skills

  • Programming Languages: Python, R, SQL, Java
  • Data Analysis: Pandas, NumPy, SciPy, matplotlib, seaborn
  • Machine Learning: scikit-learn, TensorFlow, Keras
  • Data Visualization: Tableau, Plotly, Matplotlib
  • Database Management: MySQL, SQLite, PostgreSQL
  • Version Control: Git, GitHub
  • Other Tools: Jupyter Notebook, Anaconda, Excel

Interests

In addition to data science, I have a few other interests:

Artificial Intelligence

  • Machine Learning
  • Big Data Analytics
  • Natural Language Processing
  • Data Visualization

📄 Know about my experiences https://drive.google.com/file/d/1NbNkA2xrdlrwKVtC2DEk6Xqqg3-SyG_X/view?usp=sharing

Connect with me:

https://www.instagram.com/jauharirahul3/ https://codeforces.com/profile/rahuljauhari3 https://leetcode.com/rahuljauhari3/

Languages and Tools:

cplusplus opencv pandas postgresql python scikit_learn tensorflow

Rahul Jauhari's Projects

custom-ftp icon custom-ftp

Course project for Computer Networks. Implementation of FTP with custom specifications on TCP and UDP.

regular-expression-to-nfa-to-dfa-transition- icon regular-expression-to-nfa-to-dfa-transition-

This file takes regular expression and string as input and convert RE into equivalent NFA and NFA into equivalent DFA. Then substring is taken and compared to DFA whether it is accepted by that DFA or not.

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us

tradingpatternscanner icon tradingpatternscanner

Trading Pattern Scanner Identifies complex patterns like head and shoulder, wedge and many more.

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