I'm Data Scientist/ ML Engineer with master's in Statistics and Machine Learning Linköping University Sweden. I have previously worked as Data Scientist with Accenture S&C Germany and software developer in British Telecom Project at Tech Mahindra Ltd Pune India.
- 👯 I’m open to collaborating on ML or DL projects.
- 💬 Ask me about Machine Learning, Deep Learning, MLOps, LLMOps and Python backend development.
- 📫 How to reach me: LinkedIn
📚 Repos to look for :
- Graphical Model
- Hidden Markov Model
- Reinforcement Learning (Q-Learning and Deep-Q Learning)
- Gaussian Classification and Gegression
- Contain multiple machine learning regression, classification, clustering and ensemble methods implementation
- Deep Neural Network
- CNN
- RNN
- AR Models
- Structural model, Kalman filtering and EM
- Nonlinear state space models and Sequential Monte Carlo
- Recurrent Neural Networks for Time Series
- Bernoulli Distribution, Log-normal distribution and the Gini coefficient, Bayesian inference for the concentration parameter in the von Mises distribution
- Linear and Polynomial Regression , Posterior approximation for classification with logistic regression
- Normal model, mixture of normal model with semi-conjugate prior, Metropolis Random Walk for Poisson regression
- Time series models in Stan