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Resume
1. PREM SHAH
San Francisco,CA | https://premshah.github.io/ | shah.pre@husky.neu.edu | 848-252-8692
EDUCATION
Northeastern University Boston, MA September 2016 - December 2018
Masters of Science in Computer Science
Related Courses: Web Development, Managing Software Development, Machine Learning, Parallel Data Processing
Dharmsinh Desai University Nadiad, India August 2012 - May 2016
Bachelors of Technology in Information Technology, Class Rank 2nd out of 160
Related Courses: Data Structures and Algorithms, Web Development, Software Engineering, Artificial Intelligence
TECHNICAL SKILLS
Languages: Java, Python, JavaScript, Scala
Framework: Django, Angular, AngularJS, Express.js
Databases: MySQL, Mongoose.js + MongoDB
Machine Learning Library: Scikit-learn, Pandas, NLTK, Keras, Matplotlib, NumPy, XGBoost
Big Data Technologies: Hadoop, MapReduce, Apache Spark
Other: Git, Github, Node.js
WORK EXPERIENCE
Northeastern University January 2018 - December 2018
Research Assistant Boston, MA
● Created a system to detect “end of turn” during conversations resulting in 27% increase in natural feeling interactions.
● Developed a system to do scientific analysis of speech and detect intensity raise and pitch drop in a Conversational
Agent(CA) based group support system where agent acts as a facilitator in decision-making processes.
e-Research Technologies(ERT) August 2017 - December 2017
Product Software Engineer Co-op Boston, MA
● Built universal screen feature for an Electronic Clinical Outcome Assessment(eCOA) application system.
● Resolved 25% defects ranging from critical ones to simple UI tweaks which helped in launching product on time.
● Developed a localization resource validation tool to assist and accelerate development of localized strings in product.
Northeastern University May 2017 - August 2017
Research Programmer Boston, MA
● Developed a Preconception care system which is used by Boston medical Center to deliver health intervention.
● Wrote a program to evaluate health assessments & infer potential risks and suggest potential solutions accordingly.
● Decreased system load and rendering time by 7% by code refactoring and redesigning database architecture.
Institute for Plasma Research(IPR) December 2015 - April 2016
Software Engineer Intern India
● Developed a web application which parses log files and analyze uses of software toolboxes and generates a daily report.
● Reduced landing page bounce rate by 10% and minimized page flow which improved user engagement by 17%.
● Annual report helped IPR save 15% revenue by recommending licensed tools which needed renewal.
PROJECTS
Yelp Dataset September 2018 - December 2018
● Developed a Sentiment Prediction model resulting in a system with 80% accuracy in predicting correct sentiment.
● Used parallel data processing algorithms to recommended best restaurants in each city based on sentiment of tips.
E-commerce Product Category Classification November 2018 - December 2018
● Developed a 2D convolution neural network (CNN) to predict category of an e-commerce product.
● Achieved 94% accuracy in predicting category based on brand and description thru this model.
Financial Statements Analysis September 2017 - December 2017
● Built a system to scrap annual reports from SEC.gov website & extract financial data. Subsequently, curated companies
with durable competitive advantage after analyzing financial statement for each companies.
Diabetic Retinopathy Detection and Quora Questions Pairs(Kaggle Competition) January 2017 - April 2017
● Achieved 90% accuracy in disease detection by fine tuning VGG16 model & using gradient descent optimizer.
● Developed a Random Forest Classifier model with 60% accuracy to classify Quora duplicates question pairs.
SpeakApp January 2017 - April 2017
● Built a web app with Prof. Annunziato that connects students with native speakers via video chat (using MVC
framework).
● Leveraged AngularJS for creating a single-page responsive application and Node.JS for RESTful web services.
● Migrated the database to MongoDB with Mongoose and added authentication using PassportJS.
