Computer Science Data

Drashti Patel

**** ****** ***, *** #*, Jersey City, NJ 07307 *************@*****.*** 214-***-**** linkedin.com/in/mdrashtipatel

Available to Work from: July 2017

EDUCATION:

Stevens Institute of Technology, Hoboken, NJ May 2017 Master of Science in Computer Science, GPA: 3.90 / 4.0 Course Work: Multivariate Data Analysis, Social Network Analysis, Data Mining, Web Analytics, TCP/IP Networking, Agile Methodologies, Web Programming

Awards: Graduate Women’s Leadership Award, Masters Fellowship Award Government Engineering College, GTU, Gandhinagar, Gujarat, India May 2015 Bachelor of Engineering in Computer Science & Engineering GPA: 7.56 / 10 SKILLS:

Programming/Scripting Languages: R, SQL, Python, SAS Bigdata/Databases: MySQL, MongoDB, RDBMS

Tools: R Studio, MS Excel, Tableau, NodeJS, SAS

Algorithms: K-NN, K-Means, Regression, Decision Tree, Sampling (SMOTE, Boosting etc.) WORK EXPERIENCE:

Stevens Institute of Technology, Hoboken, NJ 01/2017 – 05/2017 Course Assistant, Computer Science (Data Mining)

• Guide & meet with students having difficulty with course material Stevens Institute of Technology, Hoboken, NJ 08/2016 – 12/2016 Course Assistant, Computer Science (Object Oriented Analysis and Design)

• Guide & meet with students having difficulty with course material Aspire Technology, Gujarat, India. 07/2014 – 08/2015 Trainee Developer, Computer Science

• Designed and developed a web-based application in Java, Exam Analysis System for colleges & schools ACADEMIC PROJECTS:

Product Back Order Prediction (Using R) 04/2017 – Present

• Following CRISP-DM practices

• Implementing Data Balancing Techniques and predicting the Product Back-Order with possibly high accuracy Predict the Number of Bike Rentals in an Hour (Using SAS) 01/2017 – 04/2017

• Developed the regression model in SAS and predict 83.8% accuracy

• Implemented principal component analysis and linear regression in the model using SAS Generating a Meaningful Phrase for Each Restaurant Review (Using Python) 10/2016 – 12/2016

• Extracted and transformed the restaurant oriented Yelp data using Python

• Filtered the reviews by removing stop-words, using N-Grams and stemming

• Applied the grammatical rules to find out most meaningful phrase from the review Classify Whether Someone Will Face Financial Distress (Using R) 10/2016 – 12/2016

• Implemented different Machine Learning algorithms like ANN, CART, C5.0, KNN & Random Forest to develop classification model

• Applied Over-sampling and Under-Sampling Technique using SMOTE.

• Worked in R to achieve high performance with 98% accuracy and 0.32% false positive ratio Social Network Analysis on Twitter Posts (Using R) 05/2016 – 07/2016

• Developed Script in R to perform different Network Analysis on Twitter posts for US 2016 Election

• Implemented Sentimental Analysis and Social Network Computing Over Social Network on Tweets Basic Clustering and Geographical Mapping on Crime Data (Using R) 01/2016 – 04/2016

• Developed script in R to create clusters based on San- Francisco’s crime data

• Analysed and mapped the results geographically for the future reference like town time LEADERSHIP:

President, Graduate Student Council, Stevens Institute of Technology, Hoboken, NJ 01/2017 – 05/2017 Secretary, Graduate Student Council, Stevens Institute of Technology, Hoboken, NJ 08/2016 – 12/2016

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