I am a Senior Researcher at Panjab University, Chandigarh.
- 🔭 My major work is on Quantitative Research.
- 🌱 Leveraging the Data Science 'Holy Trinity' — Python, R, and Machine Learning — to build complex intelligent systems.
- 👯 Looking to connect with researchers and industry experts to co-develop financial models and econometric analyses along with data science.
- 🤔 If you have any holy grails for econometrics, finance or ML, send them over, I’m ready to sacrifice my sleep to the data gods.
- 💬 Ask me about anything in the above field, and I will give my best.
- 📫 How to reach me: go to my Linkedin Profile
- 🌐 Visit my Website for more courses, study materials and codes.
- 😄 Pronouns: he/him.
- ⚡ Fun fact: I am a multicultural, multilingual and multi-regional guy. 😃😃
I have uploaded some of my projects that I have implemented and learned during my PhD. Here you will get Python, R and LaTeX files with their applications in econometrics, finance and machine learning. I have also added some courses in economics, statistics, finance and machine learning. Do check them out also.
| Course | Description | Repos |
|---|---|---|
| Quantitative Finance | Here you will get algo-trading with backtesting and quantitative finance concepts like implied volatility, stochastic volatility, risk neutral pricing, greeks and many more. | Link |
| Machine Learning | Here you will get machine learning projects on XGboost, random, forest, LGBM, LSTM and other machine learning concepts. | Link |
| Exchange rate volatility | This training will teach you all the must-know concepts related to exchange rates and various concepts used in econometrics using Python. Core concepts covered are: volatility, GARCH, impulse response function, etc. | Link |
| Fourier and Wavelet transform | This training will teach you all the must-know concepts related to Fourier and Wavelet transform with applications in economics and finance using Python. | Link |
| Bayesian Statistics using Python | This training will walk you through all the must-know concepts related to Bayesian statistics with applications in economics, finance and machine learning with code examples in Python. Core concepts covered are: bayesian inference, bayesian estimator, loss function, etc. | Link |
| Geospatial Analysis | This repository sits at the intersection of economics and geography. Here, the analysis is done with the help of GeoJSON files in Python. Interactive charts modules in Python are used for data visualisation. | Link |
| Integrus Plagiarism Checker | Here you will get a Python programme on building your own plagiarism checker with the help of AI. It will show the matching score along with the source of the original content. | Link |
| Latex files | This training will teach you latex code by using a learn-by-doing approach. This will teach you how to add figures, graphs, references, etc., into your research paper or thesis. | Link |