ANUSHA MUPPALLA

adipzp@r.postjobfree.com – **** Baltimore Avenue - Kansas City, MO 64112 – 816-***-**** Education:

University of Missouri- Kansas City Dec 2020

Master of Science in Computer Science GPA: 3.7/4.0 Gudlavalleru Engineering College- Gudivada May 2018 Bachelor of Science and Technology CGPA: 8.8/10

Skills:

Computer Languages: C, Java(J2EE), Python, JavaScript, Data structures Frameworks: Angular CLI, Spring

Databases: MySQL, Mongo dB, Bigdata (Hadoop, Pig Latin, Hive, HBase) Software: PyCharm, Cloudera, Eclipse, Tableau, Talend, AWS services and Microsoft Azure Experience:

Internship (RGA-chesterfield, USA):

I worked in Data Lake team by converting data into the required format using AWS resources (DynamoDB, S3, AWS glue, AWS lambda, RedShift, Quick sight, sage maker), In IT compliance team, Developed IT controls matrix based on UCF and also worked with ServiceNow tool. Language: Python Tools: AWS, ServiceNow Conference-Schedule (M68Tech, USA):

Developed a web application that facilitate the users to prioritize, schedule and flag their tasks. Implemented reminder functionality to prompt the users about their responsibilities. Languages: Angular, NodeJS, PostgreSQL, Python (Flask) Tool: WebStorm, PyCharm

Industrial Training (Arziac Technologies, India):

At initial phase, I had gone through rigorous theoretical lectures and had started developing applications such as Calculator, Quiz application, Navigation between applications, Bluetooth etc. I had developed Auto-change Wallpaper which changes wallpaper of an android application after specific regular intervals as a final project

Languages: Python

Tools: PyCharm

Projects:

Twitter data analysis (Big Data)

• Collected Twitter data of Film actors and actress, performed various queries in Scala language using Spark Context, I have used Tableau for visualizations. Video Data analysis for Public safety (Cloud Computing-AWS)

• Collected Suspicious behaviors in CCTV video clips and predicted the data by using TensorFlow, Angular Framework as Frontend to show results and deployed in GFS platform World-Happiness Report (Statically Learning)

• Collected Data from Kaggle, Regression and Classification Algorithms had applied on data and compared results using pyplot in Python

Awards:

• I Had received DISA scholarship at UMKC

Presentations:

• Participated in Hackathon Mycroft AI skills project at UMKC

• Participated in NVIDIA workshop for deep learning