Divye Singh

About Divye Singh

With realisation that graphs/networks have fundamental existence possibly in every dynamical or non-dynamical systems, I am interested in exploring graph based approach to solve data and knowledge modelling problems. I am a Machine Learning, Data Science and Modelling & Simulation enthusiast with interest in new model development and trying unconventional approaches to solve Data Analysis and pattern recognition problems. I am actively looking for opportunities in data driven field where I can exploit my knowledge of statistical modelling and contribute to growth and development of organisation and myself.I have good understanding and hands-on experience in various Machine Learning algorithms in Regression, Classification and Clustering techniques (Parametric and Non-parametric Regression, Trees, SVM, Random Forest, KNN, k-Means, density based clustering, Ensemble Learning, dimensionality reduction, outlier detection and Resampling techniques). I also have knowledge of Statistical Modeling (Monte Carlo Markov Chains, Gaussian Mixture Models, Hidden Markov Models), Time Series Forecasting and stochastic optimisation techniques for model selection.

Experience

1. Visiting Faculty Member

   Savitribai Phule Pune University

   Sep 2024 — Present

   Took classes students at Department of Bioinformatics on Machine Learning algorithm and stochastic optimisation. Sessions focuses on understanding the theoretical workings and hands-on application.

Education

• Savitribai Phule Pune University

  Master of Technology - MTech

  2017 — 2019

• SRM University

  Bachelor of Technology (B.Tech.)

  2010 — 2014

Skills

• Eaglecad
• Powerpoint
• Microsoft Excel
• Aerodynamics
• Cad
• Simulink
• Catia
• Aircraft
• Matlab
• Solidworks
• Aerospace Engineering
• Microsoft Office
• Aerospace
• Java
• Arduino
• Ansys
• Aircraft Design
• Microsoft Word
• Nastran