Engineer Software

SUBHANGI ASATI

Fremont, CA Phone: 315-***-**** adjjpy@r.postjobfree.com

https://www.linkedin.com/in/subhangi-asati-b2a69685/ https://github.com/subhangi16 EDUCATION:

California State University East Bay Hayward, CA Dec 2020 Master of Science, Computer Science GPA-3.60

Jawaharlal Nehru Technological University Hyderabad, India June 2016 Bachelor’s in Technology, Computer Science and Engineering GPA-3.4 WORK EXPERIENCE

Sr. Software Engineer Capgemini Jun 2017 – May 2018

• Implemented classification algorithms for customer churning and profiling which helped achieve the goal of customer retention by 54% ROI generation.

• Used Big data concepts for student loans by gathering the data, parsing, analyzing and visualizing large datasets to extract insights.

• Designed and developed the dashboards using BI(Cognos) tool for analyzing business metrics for stakeholders and in turn customers.

Software Engineer Capgemini Jun 2016 – Jun 2017

• Designed and developed data pipelines to extract, transform and load financial data from the legacy system (Firerv) to target system Finacle using ETL tool AbInitio.

• Developed generic extraction and complex transformation graphs and reduced the time for extraction and transformation by 30%.

Software Development Intern Pegasystems Jun 2015 – Aug 2015

• Worked with team to design, develop and test the Pegasystem Dashboard and documented high-quality test specifications.

• Used testing tool RSpec to investigate the Pegasystem dashboard v2 for any defects/functionality and documented it. Improved the performance of the dashboard by 67%.

PROJECTS:

Social Distancing Awareness System using Machine Learning and Computer Vision May 2020 – Present

• Built the model on TensorFlow object detection framework and converted the trained model to tflite to build on android

• Used Firebase for cloud deployment, user authentication, Firestore for storing real-time data of the system’s results

• Developed a Social distancing awareness system that detects people following social distancing correctly, incorrectly and not following any. Achieved model accuracy of 71%.

PhotoSite in Ruby on Rails deploying to AWS Feb 2020 – Mar 2020

• Used Amazon S3 services to store photo files, Amazon EC2 instance, Docker Container to an EC2 instance to run the application on AWS infrastructure.

• Built a Ruby on Rails application that implements photo sharing site and displays the photo shared by each user with postdate and comments in accessing order. Used MongoDB for database storage and deployed the application on AWS. Indoor navigation for visually impaired Sep 2019 – Dec 2019

• Deployed an LSTM(Long-short term memory) based deep learning model for visually impaired people to navigate them within the house to avoid any accidents. It also detects the number of steps and warns to avoid any accidents indoor.

• Used Python, CNN, TensorFlow v.1, Keras, Tensor Board, LSTM to train the model using the video dataset.

• Achieved a model accuracy of 94.52%

KEY SKILLS:

• Programming skills: Java/J2EE, Python, C++, Javascript, NodeJS

• Machine Learning Frameworks: Tensorflow, PyTorch

• Machine Learning Packages: Pandas, Mathplotlib, NumPy

• Database: SQL, MySQL

• Tools: Android studio, Eclipse, AbInitio, Cognos, Informatica, Tableau

• Cloud technologies: Google Cloud (Firebase, Analytics), Amazon web services (S3, EC2)

• HTML, CSS, Spring MVC, REST APIs, Docker, Kubernetes

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