Shreedevi Bugudanahalli Anandamurthy adbomr@r.postjobfree.com +1-361-***-****

Shreedevi Bugudanahalli Anandamurthy

https://linkedin.com/in/shreedevi-b-a-81633aa2

**** *** ******, **** **** Golden, Co-80401 Email: adbomr@r.postjobfree.com Phone: 361-***-**** Professional Summary

• A Computer Science graduate with 3+ years of industry experience, highly result oriented, passionate about cutting-edge technology and solving real-world problems, working as Data scientist/Machine learning engineer at Blue Cross Blue Shield, IT digital experience.

• An experienced AI driven conversational chatbot developer using RASA Machine Learning for health care insurance application.

• Experience with Machine Learning libraries like sci-kit, TensorFlow; collaborated on multiple projects utilizing Machine Learning and Computer Vision.

• 3+ years of strong experience developing with Python (version 3.7, 3.6) and libraries such as: pandas, NumPy, matplotlib, Keras, SpaCy

• Hands on experience in usage of version controls such as Git, Stash and actively involved in Scrum Agile Software Development Methodology.

• Well command over DevOps, administration skills and code cleanup and writing for any code changes for enhancements/break fixes.

• Hands on experience in handling code deployments in all environments. Design and implement build, deployment, and configuration management.

• Able to quickly embrace innovative ideas and grasp new concepts quickly, efficiently, strong communication and interpersonal skills.

• Confident, articulate, highly adaptable, reliable, and professional speaking abilities and a great team player, motivated self-starter. Technical Skills

Machine Learning Tools: Google Dialogflow, RASA Machine Learning, Tableau, Object Detection Framework, TensorFlow, Pandas, Numpy, Matplotlib, Sci-Kit, Amazon Machine Learning.

Programming Languages: Python, R, Java/J2EE, C/C++, Spring boot, MATLAB, shell scripting. Database: MongoDB, Oracle, MySQL, SQL Server, Sybase Power Builder. DevOps Tools: SCM Harvest, Putty, Cygwin, WinSCP, MobaXterm, XML, Jenkins. Cloud Services: Amazon AWS, Google cloud, Microsoft Azure. IDE: Spyder, RStudio, PyCharm, Jupyter Notebook, IntelliJ, Eclipse, Android Studio, Visual studio code. Configuration & Management: JIRA, Maven, Git, GitHub Education

Master of Science in Computer Science (MSCS) GPA: 3.9/4.0 Texas A&M University, Texas, USA May 2018

Recipient: Awarded with Frank H. Dotterweich College of Engineering Graduate Merit Scholarship Academic Projects: (https://github.com/shreedevi2510/) Bachelor of Engineering in Instrumentation Technology GPA: 8.36/10 Dr. Ambedkar Institute of Technology, Bangalore, India June 2015 Work Experience

Data Scientist at Distro Systems, LLC, Michigan May 2018 to Present Client: Blue Cross Blue Shield, IT digital experience, MI Project Name: SmartBot

Project Description:

AI chatbot used by Blue Cross Blue Shield of Michigan (BCBSM) for registered members to view their claims, wellness and other health related information. This application interacts with many other BCBSM internal applications using Web Services to gather members’ information and to display user details. The bot interacts with many internal applications using Web Services to perform these functions. The chatbot is built with Machine learning tools - Natural Language Understanding (NLU) and Natural Language Processing (NLP) to interact effectively with the customers. Responsibilities:

• Working on NLU, NLP and Machine learning pipeline with RASA Machine learning for chatbot functionality.

• Built java unit testing cases in Junit and Mockito and tested integration between Java and Python AI/ML model

• Analyze and update the large training data set for improved performance of chatbot machine learning model.

• Writing python script to extract and filter the logs for purposes like classification, error fixing, to generate visual charts and tuning the model.

• Developing tool for sentiment analysis by analyzing the real time chat logs; working on ML techniques for better entity and intent recognition.

• Programming, testing, debugging code-fixing of Java bugs. Involved in code analysis, development, review and performance optimization of Java.

• Work with product manager and business team. Working on DevOps operations. Build and release management using SCM workbench. Web Developer and Administrator, Texas A&M University, Texas, USA Feb 2018 to May 2018

• In-charge of developing web pages for publishing content, managing content and maintaining Web design.

• Developing web pages using Java Script, HTML, CSS

• Responsible for designing, coding, updating and modifying websites from layout to function according to client's requirement. JAVA Developer at JDOT Technologies PVT LTD, Bangalore, India July 2015 to July 2016

• Coding and designing the applications as per the specifications and requirements.

• Experience in developing the SOAP and RESTful webservices.

• Collecting the requirement from the external stakeholders and internal business team.

• Written JUnit test cases; involved in development life cycle, code reviews, code integration, integration testing. Machine Learning Intern, Techno Samarthyam, Ahmedabad, Gujarat, India May 2017 to June 2017

• Work on large-scale machine learning algorithms – face recognition, people and objects detection, speech recognition, vehicle detection.

• Creation of prototypes and proofs of concept for different new algorithms – home layout recognition, daily schedule pattern analysis, etc.

• Collecting, filtering and finding patterns in training data sets. Java Project Intern, CloudHost Technologies Pvt. Ltd., Bangalore, India Sept 2015 to Nov 2015

• Developed a digital libraries and user interface using GreenStone software.

• Collecting, analyzing, designing, assigning and utilizing the metadata and enriching documents. Shreedevi Bugudanahalli Anandamurthy adbomr@r.postjobfree.com +1-361-***-**** Graduate Teaching Assistant, Texas A&M University, Texas, USA Sept 2017 to May 2018

• Deliver a range of teaching and assessment activities at the graduate level. Assisting in faculty research projects and engage in literature searches.

• Involved in the development of new material for department courses and assignments and exam paper evaluation and invigilation’s. Thesis

Effective Border Surveillance using Machine Learning in RVS System (https://github.com/shreedevi2510/ThreatLevelClassificationatBorders)

• Machine Learning techniques are introduced in Remote Video Surveillance (RVS) system for real-time threat level detection and classification of the targets, crossing borders to enhance the performance of RVS system.

• The threat level classifier performs four-fold categorization of the real-time video into – safe, low, medium, and high. This project is based on Viola- Jones object detection framework and developed in MATLAB.

• Journal publication: Shreedevi Bugudanahalli Anandamurthy, Ayush Goyal, David Hicks, Anupama Bhan, “Automatic Border Surveillance Using Machine Learning in Remote Video Surveillance Systems” Emerging trends in Electrical, communications and information technology, Springer, 19. Academic Projects

Automatic Handgun, Human, Vehicle detection in real-time videos (https://github.com/shreedevi2510)

• Supervised Machine Learning model has been trained with an abundant number of sample images of handgun, human and vehicle.

• The algorithm is developed to detect the trained images in real-time videos like cctv, after successful detection warning message will generate.

• This is specifically helpful in real-time surveillances used at ATMs, banks, border security and checkpoints to control crime.

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