github.com/poojashrivastava** Pooja Shrivastava San Jose, CA 95131

ac6i04@r.postjobfree.com 469-***-**** https://www.linkedin.com/in/pooja-shrivastava260358133/ EDUCATION

Masters, computer science and Systems March 2017-December 2018 University of Washington, Tacoma

Bachelor of Engineering, Electronics and Communication June 2011-June 2015 SRIT college of Engineering

TECHNICAL SKILLS

Languages: Python, R, Java, JavaScript, C#, SQL, C, HTML5, CSS, Objective C, PHP, .NET, Linux, BASH.

Tools: Spark, Hadoop, XML, HTTP Methods, RestClient, Mashape Key, Eclipse, Jee kepler, Netbeans, Apache Tomcat, Github, AWS, Azure Studio, Jupyter Notebooks, Visual studio, Pycharm Databases- Oracle 10g, MySQL, SQLite, AWS RDS, Azure database, cloud databases, IBM-Watson.

Web Development Stack- Full Stack, LAMP, MEAN, Django, Java+Spring

Courses: Internet of Things, Web Services, Machine Learning, Database System Internals, Advanced Algorithms, Big Data, Natural Language Processing, Data Structures, Cloud Computing and Applied Distributed Systems.

IoT Technologies: Raspberry pi3, Mqtt IOT, Node-Red, node.js, IBM Watson IOT platform, IBM Bluemix, google spreadsheets. Cloud Services- Amazon EC2, AWS EC2 container service, Microsoft Azure container, Dockers.

PROJECTS

User Profiling in Social Media-ML Machine Learning, Python, Jupyter Notebooks, Linux

• Designed autonomic recognition system for age, gender & personality of social media users leveraging status updates, profile pictures and page likes as input dataset.

• Used Keras- TensorFlow, decision tress, Naïve Bayes, SVM, Logistic & Linear Regressions Internet of Things- Smart Irrigation System Using Water Pump

• The design and implementation of the project application utilize concepts and IoT tools, technologies, protocols and methodologies presented with smart irrigation systems.

• Used Raspberry pi3, Python V-3, IBM Watson cloud, Node-red, Bluemix & SQLite Database. Database System Internals SQLite database, Microsoft visual studio server

• Designed, developed, tested and implemented relational databases and procedural database code

• Optimized query performance and populated test data

• Maintained the database using Procedures, Functions, Cursors and Triggers

• Performed quality assurance and testing of SQL server environment Applications & Concepts of Web services Visual studio, C#, Python, Azure

• Service-Oriented Computing & Different approaches to SOAP and Restful service deployment.

• XML Based Technologies, XML Schema, SOA & HTTP Methods & HTTP Headers web services. Ranking Lyrics for Online Search Eclipse Jee kepler, Java, Netbeans

• MusiXmatch Dataset, the official lyrics collection of the Million Song Dataset.

• Ranking lyrics according to the probability and stemmed words. Analysis & prediction of House Price Prediction Dataset Big data, Apache Spark, R-Studio and Linux/Unix

• Performed end to end data science steps (visualizing, analyzing, data discretization, data cleaning, data transformation, data reduction, training, scoring, evaluating the dataset), Kaggle dataset.

• Performed Linear Regression, Boosted Decision Tree Regression, and Bayesian Linear Regression on House Price Prediction Dataset to achieve as high as 0.85 value of R-squared. Comparison of Cloud Database Services Linux, Bash, AWS, Restful Services, Microsoft azure

• Compute the Blob storage of Microsoft Azure and AWS.

• Set up multiple client VMs, used NTP to coordinate multiple client VMs, use PSSH to interact with client VMs in-parallel. Client-Server application with multi threads Java, Eclipse, Multi-Threading, RPC, Distributed Computing

• Implemented multi-threads file server with the functionalities of OPEN, READ, WRITE, DELETE, MKDIR, RMDIR.

• Connected the client and server with TCP.

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