Data analyst, keras, Pytorch, Deep Learning, CNN, RNN, sklearn

**** ****** **, *** **

Pittsburgh, PA *****

412-***-**** *****@****.***

RUPALI SHYAM

OBJECTIVE

Contribute to the growth and success of an organization and gain practical knowledge by utilizing my diverse educational background in the field of information technology.

EDUCATION

UNIVERSITY OF PITTSBURGH

MASTER OF SCIENCE IN INFORMATION SCIENCE Aug 2018 - April 2020 (Expected)

Relevant Coursework: Data Structures, Algorithm Design, Data Analytics, Machine Learning, Cloud Computing, Advanced Database Management Systems, Information Storage and Retrieval, Artificial Intelligence, Data Mining, Deep Learning.

GPA: 3.78/4.0

VISVESVARAYA TECHNOLOGICAL UNIVERSITY, INDIA

BACHELOR OF ENGINEERING IN TELECOMMUNICATION Aug 2013 – June 2017

Percentage: 74.2 (GPA: 3.7/4.0)

TECHNICAL SKILLS

Programming Languages: Java, Python, C++, XML, MATLAB, JavaScript, Scala, Git, Maven

Database: Oracle, MongoDB, SQL Server, PostgreSQL, Cassandra, Hadoop, Apache Spark, MapReduce

Machine Learning: Scikit learn, Pandas, keras, TensorFlow, IBM Watson Machine Learning, DeepLearning4j, Pytorch. Others: Excel, Tableau

WORK EXPERIENCE

CENTRE FOR CRITICAL CARE NEPHROLOGY

STUDENT WORKER (Part-time) May 2019 - Present

•Perform data extraction, cleaning, and feature engineering for statistical insight on clinical data and analyze factors influential in patient’s condition and recovery using MySQL and Python.

• Apply regression and classification models to validate clinical studies in research projects.

ELECTRONICS FOR IMAGING, INC. (EFI)

SOFTWARE ENGINEER INTERN July – December 2019

•Developed a connector to sync the Knowledge base between two internally used software - Salesforce and Confluence using REST and SOAP APIs and frameworks such as Springboot, Jackson for scheduling and transforming content and Elasticsearch Database for persistence.

•Built an Automator to define workflow templates for various internal teams accessing the Knowledge base by designing Widgets and UI features.

ORACLE FINANCIAL SERVICES SOFTWARE

ASSOCIATE CONSULTANT September 2017 – May 2018

•Used JavaScript and Oracle PL/SQL to develop and customize financial software for banking clients in the Eastern Europe region.

•Resolved bugs in Flexcube customization support and added validation features to various modules.

•Worked in a 3-member team to develop Interest and Charges module for Bulbank Bulgaria.

GEMINI ELECTRO CORPORATION

INTERN July 2016 – August 2016

Implemented Embedded Systems for Sports Applications using C++ and the PIC microcontroller.

PROJECTS

•Developed sentiment analysis model using TF-IDF for feature extraction and Logistic Regression for tweets extracted using the Twitter API.

•Applied Deep Learning algorithms such as Recurrent neural networks and Boosting methods such as Light GBM on time series data to predict the stock prices using past market price values and news articles for a Kaggle competition.

•Developed a search engine for Yelp to search businesses based on reviews and filtering results based on ratings and cities using document indexing and Pseudo-relevance feedback for data retrieval in Java.

•Designed and implemented an E-commerce website from scratch. The database relations were built using MySQL and Flask framework for frontend development. Performed data warehousing and compared the performance of relational database with non-relational databases such as MongoDB and Neo4j.

•Undergraduate Project: Developed a novel algorithm to detect emotional states and analyze stress levels. Extracted time-frequency features obtained through EEG signals using an electrode headset. Achieved an accuracy of 91.2%, by implementing Artificial Neural Networks and Support Vector Machine classifiers using MATLAB.

PUBLICATIONS

•“EEG based Emotion Recognition using Wavelets and neural network Classifier”, International Conference on “Cognitive Science and Artificial Intelligence” (2017)

•“An algorithm to Detect Emotion States and Stress Levels using EEG Signals”, National Conference on “Control, Communication and Power Systems” (2017)

ACHIEVEMENTS

•Completed a Certification course on “Applied AI with DeepLearning” and “Fundamentals of Scalable Data Science” authorized by IBM and issued by Cousera.(2019)

•Completed certified training courses in XML, SQL and PL/SQL, Database Administration, JAVA and WEBLOGIC by Oracle University.(2017)

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