A passionate Python Developer with a demonstrated history of working with Various Machine Learning as well as Deep Learning Algorithms for almost 2.8 years in both Industry and Research Domains.

Tools & Technologies:

• Programming Languages - Python, C, C++, Java • IDLE - Anaconda, Jupyter Notebooks, Atom, MS Visual Studio Code • Python Modules - PyTorch, Tensorflow, TF Keras, Pandas, statsmodels, sk-learn, Matplotlib • Regression Analysis - Linear regression, Logistic regression, Polynomial regression, Stepwise regression, Ridge regression, Lasso regression, ElasticNet regression • CUDA, Cloud Computing, Parallel Processing in MPI and OpenMP, High Performance Computing • Deep Learning -(DNN/CNN/RNN/LSTM) • Ensemble – Bagging/Boosting(XGboost, Adaboost, GBM, LightGBM, CatBoost) • Multivariate Regression/Classification (SVM/RF/KNN) • Computer Science Fundamentals (Algorithms, Data Structures/SDLC)

Computer Science Courses:

Data Mining, Engineering mathematics, Probability and Statistics, Data Structures, Algorithms, Compiler Design, Computer Networks, Operating Systems, English and Communication Skills.