Shrutika Pedamkar

Versatile Software Engineer talented at contributing to team-developed projects. Collaborative designer of useful solutions and perfectly customized products. Knowledgeable in programming and gifted at creating unique art. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

eXtreme Multi-Label Classification (XMLC) in Text Analytics

Create and train an XML classifier with the help of a suitable collection of features that were extracted from the provided dataset. We utilised NLTK, ScikitLearn, and other tools to extract features.

Design and Application of a Machine Learning System for a Practical Problem

The purpose of this project was to learn how to recognise machine learning techniques such Decision Trees, Random Forests, Support Vector Machines, KNNs, K-means, and Naive Bayes. It also involved doing a comparative analysis of several machine learning approaches when used to solve a particular problem.

Neural Networks and Deep Learning

The project’s objectives were to get an understanding of neural networks and various models, develop programming skills to produce models for a specific context, and apply neural network models (including deep learning models) to a required application.