RUCHA DUBBEWAR

Chicago ac8djg@r.postjobfree.com

+1-312-***-**** https://www.linkedin.com/in/rucha-dubbewar-720a32126 EMPLOYMENT

Software Developer (Remote) Global IT Experts October 2018 - present

• Completed training project utilizing Java, Spring, Hibernate and JSP.

• Create and maintain project documentation

Student Assistant Illinois Institute of Technology August 2017 – April 2018

• Provide technical assistance and manage operations for a user base of 4000+ faculty, students

• Maintain daily and monthly statistical reports.

Assistant System Engineer Tata Consultancy Services Dec 2015 – July 2016

• Defining best practices for project support, reporting errors, debugging, execution and documentation of modified codes

• Involved in the design and development of the application as per the client requirement using Java

• Trained with programming in core java using complex data structures like ArrayList, Hash Table and Map.

• Implemented Form Validation with JavaScript and Struts, insert data in database using JSP, Hibernate and Spring MVC, FICO tool EDUCATION

Chicago, IL Illinois Institute of Technology August 2016 – May 2018 Master’s in Computer Science, GPA: 3.0

Coursework: Algorithms, Artificial Intelligence, Advanced Database Organization, Software System Architecture, Theory of Computation, Software Project Management, Machine Learning, Data Mining, Online Social Network Analysis, Natural Language Processing. Mumbai, India Mumbai University August 2011 – June 2015 Bachelor’s in Information Technology, GPA: 3.6

Technical Experience

Projects: https://github.com/rdubbewar

• Text Summarization (2018) Python: Developed an application which uses extractive technique of text analysis and an algorithm using Natural Language Processing (NLP) that selects from the original text a subset of words, phrases, sentences which are then arranged in proper sequence to give summary.

• Twitter Sentiment Analysis (2018) Python: Analysis sentiments of data collected from twitter using Python and Twitter API, Predicted positive and negative tweets, used Linear regression, Naïve Bayes, Maximum Entropy, Random Forest, SVM, Decision tree.

• Natural Language Processing (2018) Python: Various projects implemented such as using Naïve Bayes for probability predictions and accuracies, implementation of Earley Parser’s Algorithm, Lexical Chain and text summarization.

• Social Network Analysis (2017) Python: Collected data from twitter using Twitter API, performed community detection, link prediction, tokenization, recommendation system etc. using Python.

• Keyword Extraction for News Dataset (2017) Python, R: Extracted keyword from News Aggregator dataset and categorized the news articles and compared accuracy of various Machine Learning algorithms such as Naïve Bayes, SVC, Logistic Regression.

• Recommendation System for movies (2017) Python: Developed a python recommender system using scikit learn (sklearn) library to predict the movie liked by any user, collaborative filtering using confusion matrix to user- movie similarity that achieves accuracies up to 75%

• New York Subway System (2016) Java, MySQL: Implemented New York subway system using Dijkstra’s Algorithm for using shortest distance to reach from source to destination.

• Loan Approval Module (2015) JavaScript, HTML5, CSS3, Hibernate, Struts, MySQL, JSP: Implemented Loan Approval module in training period for approving loan to bank applicants by checking many constraints that must be satisfied using JavaScript, JSP, Struts, Hibernate and Spring

• Online Shoes Website (2014): Development of online shoes website using HTML, CSS and JavaScript Skills, Languages and Technologies

• Languages/ Web Technologies: Java, Python – Pandas, Scikit Learn, Numpy, SciPy,Matplotlib, NLTK, R,C/C++, HTML, CSS, JavaScript

• Database: Microsoft SQL Server, Oracle 11g, MySQL, Relational databases(RDBMS), MS Access

• Concepts and libraries: Object Oriented Programming, Data Structures and algorithms, Data Mining, extract, transform, and clean large data sets, SDLC, Natural Language Processing (NLP), Machine Learning, Agile Development.

• Others: Eclipse, NetBeans, Git, Google Apps, JSON, Excel, Jupyter Notebook, Windows, Linux, Unix

• Soft skills: Detail Oriented, Multi-tasking, Self-starter, Analytical thinking, Written & Verbal Communication, Time Management Additional Experience & Awards

• Felicitated as Third topper in Second year Engineering Academic year 2012 – 2013

• Selected as Microsoft Student Partner 2014 – 2015 by Microsoft

• Publication: Simulation of CDMA Technology

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