Having an experience of 3 Years and 7 Months in Software development.(Python, Data Science and
MERN)
Having proficiency and 2 years experience in Machine Learning and Artificial Intelligence.
Familiar on Deep learning projects for image identification CNN, RNN for stock price prediction
autoencoders for Movie Recommender System (PyTorch), Image captioning (CNN-RNN autoencoder
architecture)
Implemented RESTful web services and API’s.
Having experience in MySQL and SQLite as a back-end Database.
Hands on experience in implementing LDA, Naive Bayes and skilled in Random Forests, Decision
Trees, Linear and Logistic Regression, SVM, Clustering, Neural networks, Principle Component
Analysis and good knowledge of Recommender Systems.
Experienced with machine learning algorithms such as logistic regression, random forest, XP boost,
KNN, SVM, neural network, linear regression, lasso regression and k-means.