rutujabhandigani Goto Github PK

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Name: Rutuja Bhandigani

Type: User

Company: University of Southern California

Location: Los Angeles

Blog: rutujabhandigani.github.io

Hi, I’m Rutuja

A data science aficionado with a strong educational and professional background in Data Science & Advanced Analytics, keenly interested in combining my technical skills with business acumen to implement data-driven solutions.
My current learnings and project explorations are in these domains:

• Data Science- Data Mining, Big Data Analysis, Predictive Modeling

• Machine Learning- Statistical Machine Learning techniques and Algorithms, Marketing Mix Models

• Natural Language Processing- HMMs for POS tagging, Word Embedding, LSTMs, Text Summarization, Text-to-Speech and Speech-to-Text conversion, Sentiment Analysis and Opinion Mining

• Deep Learning- ANN, CNN, RNN, Auto Encoders
Connect with me

[email protected]
[email protected]

Rutuja Bhandigani's Projects

ar-cutpaste

Cut and paste your surroundings using AR

assistive-chatbot-for-academic-information

Academia chatbot is a web-enabled chatbot powered by Google’s Dialogflow, will can be used to help the students at MITWPU to easily fetch details about their respective subjects, its course pattern, marks distribution etc.

best-data-science-resources

This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.

bird-species-classification

Classifier deep learning network to distinguish images of 20 bird species with OpenCV and Transfer Learning using EfficientNetB0 and VGG16 models

boxtower2d

A basic 2D game developed in Unity

csci544-applied-natural-language-processing

daa

data-structures

Implementation of all basic data structures

data-warehousing-and-data-mining

deep-learning

driver-alertness-detection-system

Deep Learning model using Convolutional Neural Networks to identify if the driver is distracted from driving and classify the input images into the activities that the user is performing which is distracting him from driving