Resume
Resume

SHREYA NAIR
------------/shreyanair11394 | ------------/in/shreya-nair-7b2962114 | ------------

Education
Northeastern University, Boston, MA | Master of Science in Information Systems May 2020 (expected)
Shri Shankaracharya Technical Campus, India | Bachelor of Engineering in Information Technology June 2016

Technical Skills
Web Technologies and services: HTML5, CSS3, AJAX, RESTful, JSON
Programming Languages: Python, JavaScript, jQuery, SQL, Java
Frameworks: Keras, Tensorflow, Bootstrap
Databases: MySQL, MongoDB (NoSQL)

Personal Projects
Amazon Fine Food Review Dataset Present
� Applying Machine Learning models like Na�ve Bayes, Logistic Regression and LSTM to learn the accuracy of model for sentiment analysis of reviews provided by amazon users.
Image and Handwriting Detection August 2019
� Assira Dataset- Developed a CNN model to predict the type of animal based on the image given. Built a model that has 128 Convo2D and MaxPooling2D for better image recognition.
� Fashion MNIST and MNIST- Tested prediction and performance of the sequential model using TensorFlow and Keras. Examined models with and without convolutions to check the accuracy.
Natural Language Processing for Sentiment Analysis July 2019
� Random Website web Scrapping- Done web scrapping using �BeautifulSoup�, applied basic text processing tasks like removal of special characters, removal of stop words, stemming, lemmatization, tokenization using NLTK.
� Twitter and Amazon Dataset- Done basic Text processing with spelling correction using �TextBlob�, generated N-grams of wordlist, used TF-IDF to penalize frequently occurring words, produced bag of words, applied word2vec word embedding, generated sentiment analysis representing polarity and subjectivity.
Playing with Datasets from Kaggle April 2019
� Titanic Dataset- Using k-nearest neighbor, random forest classifier, gradient boosting ensemble to check the model prediction on test set using hyperparameter tuning.
� Cancer Dataset- Performed data visualization and correlation between features. Extracted features and performed feature selection to check the accuracy of predicted results of benign and malignant cancer.
� Pima Indian Diabetes dataset- Performed data preprocessing and feature scaling to normalize the features. Built and complied a deep learning model to find the loss and accuracy of the model.
� Black Friday Dataset- Built DNN on this regression dataset and processed data to check for model performance

Academic Projects
Job Recruitment Portal (HTML, CSS, Bootstrap 4, JavaScript) Present
� Developing a website for employers to post recent job openings.
� Creating a platform for customers to search jobs based on their requirements on employers, job position and job location. Providing a front-end platform with JavaScript for customers with MongoDB as a backend database for record keeping streamlining experience.
Data Science Predictive Analysis Project on Airbnb Kaggle Dataset using Python June 2019
� Ran machine learning algorithms like SVM, Random Forest, Decision Tree and Logistic Regression (OnevsRest) to predict new user�s booking destination using python packages like NumPy, SciKit Learn and Matplotlib.
Database for Donation Management Systems in MySQL Workbench December 2018
� Created an Enhanced Entity Relationship diagram, performed Normalization and tested joins, views, stored procedure, transactions and privileges for a donation management system.

Work Experience
TeleTech India, Ahmedabad, India | Business Development Executive July 2016 - July 2018
� Created a deck for business, showcasing how voice of customer can be used to optimize business at multiple geographic levels.
� Worked with eBay Russia for finding out the business impact and success of a seller/buyer based on customer reviews, coupon distribution etc.

Certificates and Accomplishments
� Machine Learning by Stanford University, Coursera
� Neural Network and Deep Learning by deeplearning.ai, Coursera
� Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by deeplearning.ai
� What is Data Science? by IBM, received IBM cognitive class Badge, Coursera