Shambhavi Kulkarni

Designed and developed a user friendly application for two user models

Introduced chat feature and photo sharing for users through Java and FireBase Realtime Database

Incorporated activity recommendations for users to feel better

Executed code modularity, and error handling to ensure code quality

Designed and developed a user friendly web application for 3 user models

Built a responisve UI with React

Incorporated Node.js and MongoDB for implementing a robust backend infrastructure

Integrated Google Calendar API for task scheduling.

Used OAuth 2.0 authorization to ensure privacy of user

Engineered an engaging single player game utilizing Java

Applied model – view – controller design principles

Implemented text based and Grafical User Interface modes using Java Swing for a seamless user experience

Achieved high – code quality through documentation, unit testing, error handling and debugging techniques

Performed Exploratory Data Analysis(EDA) to get better understanding of data

Implemented Synthetic Minority Oversampling(SMOTE) on the unbalanced data to balance it out

Tuned model with GridSearchCV to get best parameter for KNN classifier

Utilized Python and Selenium to scrape more than 1000 job descriptions from Glassdoor

Engineered features from the text of each job description, quantifying the value of skills like Python, Excel, AWS

Employed GridsearchCV to optimize Linear, Lasso, and Random Forest Regressors, identifying the best model

Used audio notes for predicting threats through ‘speech to text’ conversion

Engineered project by applying signal processing to convert audio to text

Incorporated sentimental analysis, Recurrent Neural Network (RNN) and Natural Language Processing (NLP) algorithms