+1-312-***-**** email@example.com linkedin.com/in/ramya-rajendra-049216194/ github.com/Ramyarajendra SUMMARY- Dedicated and passionate student currently pursuing masters in Computer Science. Worked as a full-stack web developer, machine learning enthusiast, and an inquisitive problem solver. Seeking to work in a challenging environment which will help explore my potential in an effective way. Actively looking for internships for summer 2020. EDUCATION
Master of Science (Computer Science) Aug 2019 - May 2021 Illinois Institute of Technology, Chicago, USA
(Courses-Online Social Network Analysis, Advanced database Organization, Mobile Application Development)
Bachelor of Engineering (Computer Science),GPA 3.8 Aug 2014 – May 2018 Visvesvaraya Technological University, Belgaum, India EXPERIENCE
1. Software Developer, ManufactOn Oct 2018-May 2019 Full Stack web development /mobile application development
Contributed towards designing and developing web application using vue.js, node.js, bootstrap/buefy
Actively involved in refactoring and modifying code for android app development
Proactively collaborated in software architecture prototype design and analysis 2. Software Developer Intern, GE Digital, India Oct 2017-Jan 2018 Web design and development
Contributed towards maintaining and modifying database using mongodb 3. Research Intern, Indian Institute of Science, India Jan 2019-Apr 2019 Pattern Recognition and Machine learning
Involved in optimizing and implementing pattern recognition techniques on machine learning models to analyze and predict data
Assisted in paper work on improvised Clustering techniques of k-means algorithm TECHNICAL SKILLS
1. Classifying followers of most influential users in twitter Sep 2019-Oct 2019
Programmed using python, uses machine learning algorithms like logistic regression, random forest and decision trees to classify users.
Analysis on celebrity-centric social network accounts to classify the users as bots and non bots.
Predicts if a follower of an influential user is a bot or not with certain confidence. 2. Mobile app for ‘Stock Market’ Aug 2019-Sep 2019
A mobile app created using Android studio.
Lists drop and increase in stock rates for popular companies by fetching data from Stock API
Provides search, insert,delete functionalities for company stocks 3. Context Based Language Translator application Jan 2018-Mar 2018
Web application which translates source to destination language based on context of sentence
Accomplished using deep neural networks(bi-directional recurrent neural network model).
Libraries used: keras, tensorflow, matplotlib,numpy
4. Movie review classifier and recommendation system Sep 2019
Fetches data from IMDB.com and classifies data into positive and negative sentiment using sentiment analysis
Data is preprocessed and classified using Logistic Regression classifier
Network analysis is done on the obtained data to recommend movies to users and their community
Libraries used : sklearn, matplotlib, scipy, numpy, glob 5. Multi Notepad Mobile application Oct 2019
Mobile app created using android studio
Allows creation and maintenance of multiple notes. Provides creation, modification, deletion and search functionalities 6. Web application for ‘Hotel Management System’ Aug 2018-Jan 2019
Developed for users as well as administrators to store customer record after login. PUBLICATIONS / AWARDS / ACHIEVEMENTS/CERTIFICATIONS
Published and awarded best research paper on effect of linguistic data on deep neural networks by Computer Society of India Oct 2017
Certified as Nano-degree holder in Natural Language Processing and deep neural networks by Udacity Apr 2018
Awarded first place in coding and debugging challenge by Computer Society of India(CSI) Dec 2017
Certified by Udemy on successful completion of advanced web developer course Jan 2018