AMAN RAJ700 Health Sciences Drive, Chapin C 1044C, Stony Brook, New York 11790

(631) · 398 · 6540 � amraj@cs.stonybrook.edu� www.linkedin.com/in/amankaraj� www.github.com/amankaraj

EDUCATION

Stony Brook University • New York December 2016Master in Science, Computer Science - Data Science and Engineering Specialization GPA 3.84/4.0

Relevant Courses: Analysis of Algorithm; Artificial Intelligence; Probability and Statistics for Data Scientists;Big Data Analytics, Data Visualization; Computational Biology; Fundamental of Computer Networks

Indian Institute of Information Technology • Allahabad, India June 2012Bachelor of Technology in Information Technology GPA 8.25/10

Relevant Courses:Operating System; Databases; Natural Language Processing; Algorithms and Data Structures

SKILLS

Programming Languages Java, Python, JavaScript, SQL, FlexDatabases Oracle, MySQL, MongoDBTools Jira, Eclipse, Adobe Flex, SVN, Git, Tomcat,Technologies Design Patterns, Spring, JPA, JUnit, WebLogic, REST APisLibraries NLP Tools, NLTK, Pandas, Numpy, Sklearn, Mokito, D3.js

WORK EXPERIENCE

VMware June 2016 – August 2016Member of Technical Staff - Intern(Distributed Firewall - NSX) Palo Alto, CA, US

• Firewall Rule Visibility - Automated identification of unreachable and shadowed firewall rules in Vmware NSX.

• What-If Impact analysis of Addition, Update or Deletion of a rule on the existing rule base before actual action.

• Identification and Merge suggestions of similar Firewall rules targeted at easy Maintenance and Efficiency.

Citigroup July 2012 – July 2015Senior Software Developer Pune, India

• Responsible for User Interface & server-side design and development of core modules of a live financial appli-cation Permitted Product List. This provides the standard products for trading at various desks.

• Researched-employed AGILE methodology to effectively implement procedures at stages of application lifecycle.

• Created an extensive testing environment using JUnit test cases and Mokito for performance and stress testing.

• Efficient Design and handling of the database for projects in Oracle using SQL Server.

• Received individual performance award for single handedly working on all aspects of Permitted Product List.

Carnegie Mellon University & IIIT-H, India Dec. 2010

• Created a Machine Learning model to classify sentences into descriptive, methodological or explanatory

• Worked on improvement of tutor agents using this Sentence Classification model.

PROJECTS • GITHUB HANDLE

• Syntactic Analysis of Social Media Data: In order to get deeper syntactic information from social mediatext(Facebook messages), we created multiple customized NLP pipeline by integrating various kind of availabletools and analyzed the performance. Tools included various Tokenizer, Taggers, Normalizers and Parsers.

• Movie Recommendation: Created a Collaborative Filtering based Movie Recommendation System usingthe Movielens 1M dataset. Performed Multiple Linear Regression and Clustering to get more insights.

• Decision Tree Classifier: Predict credit worthiness of Credit Card applicants.Overfitting and noise handled.

• Automated implementation of Sudoku Solver, Connect Four, Set Game and Peg Solitaire:ImplementedIterative Deepening, A* Search, MinMax Tree, Alpha-Beta Pruning, Backtracking using Constraint SatisfactionMethods like MRV, Forward Checking, Constraint Propogation for Artificial Intelligence course in Python

• Blog data analysis: Performed linguistic topics correlation with age and occupation, gender, using variousstatistical tests. Correlate topics using Multiple Linear and Logistic Regression on Blog Authorship Corpus.

• Data Visualization: Developed various projects on Data Analysis & Visualization including InteractiveHistograms; Pie Charts; Force directed graphs and Collapsable Tree using the JavaScript library d3.js.

• Cellular Localization: Predicting location of a device using only Cellular Signal Strengths based on labelleddata and prior history of a user using Machine Learning classifiers and Hidden Markov Model.

• Page Load Time Analysis & Prediction: Built a Machine Learning Regression model to Predict the PageLoad Time(PLT) of websites. Analyzed the major factor affecting the PLT and how can we reduce the same.