I'm

Anagha Viswanath

Software Engineer, Full Stack Developer, Database Engineer, Data Scientist

About

About Me

Software Developer

Hello There!

I am a Computer Science and Engineering Graduate Student at Santa Clara University, California.

With experience in full-stack development, data engineering, and software development, I'm well-versed in web development technologies, database systems, and object-oriented programming languages like Python, Java, JavaScript, and ReactJS. What really drives me is using technology to solve real-world problems, which is why I've worked on various projects using my strengths in web technologies and my interest in Machine Learning and Image Processing, including libraries and frameworks such as Pandas, Scikit-learn, TensorFlow, and Keras. With my two years of experience as a database developer, I've been able to automate SQL procedures, improve data consistency and reliability, and deliver results using PowerBI tools.

My keen interest in full-stack development and data analysis utilizing machine learning and image processing continues to inspire me to research, learn, and apply my knowledge and skills to my future endeavors. I am eager to take on new challenges and contribute my expertise to innovative projects.

Degree: Master of Science
City: Santa Clara, CA, USA
Major: Computer Science and Engineering
Domains
  • Full Stack Development
  • Backend Development
  • Data Scientist

  • Data Engineering
  • Software Engineering
  • Machine Learning Engineer

Resume

Resume

Summary

Anagha Viswanath

Skilled software engineer with a Master's in Computer Science, experienced in data structures, algorithms, and cloud architecture. Proven track record in improving data consistency, developing automated pipelines, and designing robust software systems. Proficient in SQL, Python, C++, Java, AWS, and DevOps tools, suitable for various software engineering roles.


Education

Master of Science in Computer Science and Engineering

Santa Clara University, CA, USA

Sep 2022 - Jun 2024 | GPA: 3.7/4.0

Relevant Courses: Design and Analysis: Algorithms, Computer Architecture, Advanced OS, Web Architecture, Database Systems, Data Mining, Artificial Intelligence, Machine Learning

Bachelor of Engineering in Information Science and Engineering

Nitte Meenakshi Institute of Technology, KA, India

Aug 2016 - Aug 2020 | GPA: 3.7/4.0

Relevant Courses: Algorithms, Database Systems, Machine Learning, Unix, Web Development, Advanced Java, Python Programming


Publications

Detection of Leukemia Using Convolutional Neural Network

Emerging Research in Computing, Information, Communication and Applications (ERCICA)

Nov 2021 | Lecture Notes in Electrical Engineering, vol 789. Springer, Singapore

Certifications

AWS Certified Cloud Practioner

AWS Certified Cloud Practioner Certificate

Jun 2024 | Amazon Web Services (AWS)

Problem Solving (Basic)

HackerRank - Problem Solving (Basic) Certificate

Jul 2023 | HackerRank

Experience

Database Engineer Intern

Western Allied Mechanical | Apr 2024 - Present

  • Interpreted stakeholder requirements into comprehensive Postgres database structure to provide precise project tracking metrics via Power BI leading to 70% enhancement in cost estimation accuracy and improved client budget adherence.
  • Orchestrated migration of project tracking data from external SQL Server to Postgres on Microsoft Azure to tackle data inaccuracies leading to 40% increase in data consistency and 20% improvement in data accessibility for project managers.
  • Automated data pipelines to extract and transform Excel input, ensuring accurate dashboards and 35% improved data reliability.

Graduate Research Assistant

Frugal Innovation Hub | May 2023 - Mar 2024

  • Designed software architecture for bilingual educational mobile app, integrating features of bilingual word problem rendering, audio based output, and grade-based segmentation, incorporating feedback from 10+ end users for iterative enhancements.
  • Implemented database APIs for document retrieval, enabling 3 distinct problem rendering methods using Flutter with Firebase.
  • Developed admin dashboard feature to automate image resizing and database updates, resulting in 30% reduction in manual tasks.

Software Engineer

Wipro Technologies | Sept 2020 - Aug 2022

  • Led Microsoft Azure migration initiative to address on-premise data inconsistencies by scripting SQL procedures and optimizing database structures, resulting in 90% data reliability and seamless integration with Power BI for enhanced analytics capabilities.
  • Engineered ETL solution to consolidate client data, delivering 100,000 employee records with 95% compliance and daily updates.
  • Implemented user-friendly Power BI designs to enhance real-time data visualization and optimize dashboard performance, resulting in 30% increase in data accessibility and usability for stakeholders leading to actionable insights for superior decision making.
  • Developed and maintained automated data pipeline workflows using Azure Data Pipelines, reducing data processing time by 40% and ensuring timely, accurate data delivery, which enhanced support for critical business operations.
  • Utilized Agile methodologies to automate unit testing of PaaS microservices with Pytest and Robot Framework, employing Git for version control, and deploying via Kubernetes clusters and Docker containers reducing deployment time by 20%.

Software Engineer Intern

Canbank Computer Services Ltd. | Jun 2019 - Jul 2019

  • Automated manual Performance Bank Guarantee processes, boosting efficiency by 50% using ASP.NET and C# in MVC design pattern.
  • Seamlessly implemented system via Microsoft Visual Studio and SQL Server for enhanced operational efficiency.

Skills

Skills


Programming









Frameworks / Libraries







Database Technologies




Cloud




Machine Learning




Other Skills




Projects

Projects

Leukemia Detection Using Deep Learning

Leveraged Keras with Tensorflow backend to develop a highly accurate image classification model by implementing Convolutional Neural Network (LeNet 5 Architecture) for identifying Leukemia from white blood cell images achieving exceptional accuracy rates of 91% for training and 87% for testing.
Created an interactive and user-friendly web application with Python’s Flask framework, HTML, CSS, and JavaScript, enabling seamless use of the image classification model’s results.

SMART Shopping Cart

Full stack IOT web application hosted on Amazon EC2 Apache web server, using ESP32CAM for barcode scanning
Created REST API's utilizing Flask and Python, along with HTML/CSS, Javascript-Ajax to enable real-time update of products in user's cart.

Give For Good

Full-stack web application leveraging ReactJS and HTML5/CSS3 to implement a dynamic mapping feature that allowed users to locate and tag individual’s locations on Google Maps, facilitating communication and support between NGOs and individuals in need.
Integrated Google Maps API with JavaScript to display and pin locations on maps, and Python with Google Auth, and MySQL for authentication and location storage.

Air Quality Analysis & Index Prediction

Developed an algorithm to calculate the Air Quality Index (AQI) for hourly pollutant values and assigned corresponding labels based on established guidelines.
Constructed a predictive model using the Random Forest Regressor algorithm to accurately forecast the AQI, leveraging insights gained from exploratory data analysis (EDA) and comprehensive dataset preprocessing techniques.
Evaluated the performance of the predictive model on previously unseen data, achieving an impressive accuracy rate of 82% and demonstrating its robustness and reliability.


Activities

Activities & Interests

Made with ♥ by Anagha Viswanath