Software Engineer Python

Prachi Goel

**** ********* *** ****: ******.******@*****.***

Addison, Texas, 75001 GitHub: https://github.com/prachi-goel06 Phone: +1-720-***-**** LinkedIn: https://www.linkedin.com/in/prachi-goel EDUCATION

Master of Science in Computer Science and Engineering, University of Texas at Arlington [2016-2018] Bachelor of Technology in Computer Science and Engineering, Maharshi Dayanand University [2010-2014] SKILLS & COMPETENCIES

Programming Language: Python, C++, Java

Data Analysis/Machine Learning: TensorFlow, Scikit-Learn, Numpy, Pandas Database: MySQL, SQL, AWS RDS, NoSQL, MongoDB,PostgreSQL Web Technologies: RESTful Web Services, Python Flask, Node.js, HTML5, JavaScript, ASP .Net MVC Cloud Technologies: Amazon Web Services, Microsoft Azure Others: GitHub, SVN, Maven, Jenkins, Jira/Confluence, PyCharm, Jupyter Notebook MOOCS/CERTIFICATION

Artificial Intelligence Foundations: Thinking Machines (LinkedIn) [2018] Neural Networks and Deep Learning by deeplearning.ai on Coursera by Andrew Ng [2018] WORK EXPERIENCE

Zimperium Software Engineer Backend (Data Analysis) [2018- Present]

● Involved in Python Scripting for regression analysis of mobile threats, Pattern Matching for detecting different threats using decision tree.

● Wrote scripts to maintain Django & remove garbage data.

● Created and configured different REST APIs.

● Developed an automation framework using python to perform sanity test after release deployment on docker.

Technologies: Restful APIs, Python Flask, TestNG, RestAssured, Gradle, Team City, Django, PostgreSQL. NIIT Technologies Ltd DAS Certification SITA Software Engineer (Data Analysis) [2014 - 2016]

● Involved in testing software that analyzed risk for countries associated with incoming passengers using the passenger data.

● Work included writing test plans, test suits and test cases. Performed unit, acceptance, regression, functional/performance, validation testing. Automated a complete Module using Python.

● Awarded Core Team Allowance for providing the best efforts and efficiency for the team for 2 consecutive quarters.

Technologies: JUnit, HP-Quality Center, Jira/Confluence, XML, Linux, SQL ACADEMIC WORK

Bid your Seat App: Developed an application to allocate seats in the university stadium using second price auction and first price auctions of Game Theory. The design involved establishing communication between microservices, load balancing, scaling up and down of microservices. Technologies: Python, Flask, Amazon EC2, Amazon ElastiCache-Redis,Load balancer, MongoDB, Rest API, HTML5 Auto Classified Ads: Developed a website where students can post their articles to be published in school magazine and used Naive Bayes algorithm to categorize the articles into different news groups. Technologies: AWS (EC2, Auto scaling), Python Flask, Restful API, S3, MongoDB Serverless Inventory Management Application with Stock prediction- Linear regression to predict the stocks and help in ordering supplies. The design involved establishing communication between microservices, load balancing, scaling up and down of microservices.

Technologies: AWS Lamda, ASP.Net MVC Core, Rest APIs, Python: Scikit-Learn, Numpy, RabbitMQ, microservices. Learn on Iris Dataset: Implemented a program for juniors understand the algorithms through visualization. It analyzed the success rate of Linear Regression, KNN, SVM, Deep Learning with cross validation on Iris Dataset. Technologies: Python: Flask, matplotlib

People Information System using Amazon Web Services (AWS): Implemented a Python Flask website on AWS RDS to retrieve population information from statistical data using clustering algorithms like K-Means, Gaussian Mixture Models, Agglomerative Hierarchical Clustering.

Technologies: Python Flask, AWS RDS, Memcache, NoSQL. Storage as a Service (SaaS)

Designed a web application to store and manage customer files and accounts. To secure the customer data, files were stored in encrypted format and maintained secure hashed to compare integrity of the files on cloud. This application was deployed on IBM Bluemix and files were stored on Cloudant (NoSQL DB). Technologies: Python, Flask, IBM Bluemix, Cloudant NoSQL Seating Arrangement in a Movie Theatre

Designed an algorithm for assigning seats within a movie theater to fulfill reservation requests using Linked List and backtracking.

Technologies: Python

EXTRA CURRICULAR

Secretary Mavericks Computer Networking society(Mavnet) [2016 - 2018] Delivered presentations on Port Forwarding and TCP/IP for 60 undergraduate students. Conducted various workshops for nearly 40 students for 2 consecutive years.

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