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Hi šŸ‘‹, I'm Tejas

A skilled Data Scientist turned Quant

  • šŸ”­ Iā€™m currently working on backtesting, analysing, and developing Options trading strategies based on technical analysis & Greeks

  • šŸ’Ŗ I have strong experience with automation using Python, Machine Learning, and solving NLP/NLG problems

  • šŸŒ± Iā€™m currently polishing my Python development and Product engineering skills

  • šŸ‘Æ Iā€™m looking to collaborate on projects related to - Backtesting, Quant Analysis, and automated Trading šŸ“ˆ using Python

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences https://www.linkedin.com/in/tejas-linge

Connect with me:

tejas linge tejaslinge10

Languages and Tools:

aws chartjs css3 d3js express gcp git heroku html5 mongodb mssql mysql nginx nodejs opencv pandas postman python pytorch scikit_learn seaborn sqlite tensorflow

Tejas Linge's Projects

fifa20-analysis icon fifa20-analysis

Web App for Statistical Analysis of Teams and Players in FIFA-20 using Numpy, Pandas, Seaborn, Plotly and Streamlit.

marketing-analysis icon marketing-analysis

This project demonstrates how to perform EDA on marketing campaign data and make future marketing performance predictions

page-rank-algorithm icon page-rank-algorithm

Simple Python Search Spider, Page Ranker, and Visualizer. This is a set of programs that emulate some of the functions of a search engine. They store their data in a SQLITE3 database named 'spider.sqlite'. This file can be removed at any time to restart the process.

quickdaw-recognizer icon quickdaw-recognizer

QuickDraw! is an online game that challenges players to draw a picture of an object or idea and then uses a neural network (NN) artificial intelligence to guess what the drawings represent. The AI learns from each drawing, increasing its ability to guess correctly in the future.

stock-price-prediction-using-lstm-and-technical-indicators icon stock-price-prediction-using-lstm-and-technical-indicators

In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.

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