Software Engineer

SANNIDHI MOHAN ACHARYA

+1-602-***-**** ********@***.*** www.linkedin.com/in/acharyasannidhii

EDUCATION

Master of Science in Information Technology, Arizona State University Aug 2022 - May 2024 Coursework: Analyzing Big Data, Advanced DBMS, Data in the cloud, Cloud Architecture, Data visualization. Bachelor of Engineering in Computer Science, NMAM Institute of Technology Aug 2015 - May 2019 Coursework: Object oriented programming, Data structures and algorithms, Mobile Computing, Computer Networks. SKILLS

Programming languages: Python, Java, Ruby, React, Node.js, C/C++, HTML/CSS. Databases: MongoDB, PostgreSQL, MySQL.

Testing Tools: Selenium, JUnit, JQuery, RestAPI, Pytest. DevOps/Automation: AWS, Kubernetes, Git, Docker, Jenkins. Data visualization: Power BI, Tableau, Excel.

EXPERIENCE

Software Development Engineer in Test Intern May 2023 - Dec 2023 Plexus Worldwide Scottsdale, AZ

• Integrated our automation framework with bug tracking tool (QMetry for Jira) using REST API to automate test reporting, leading to an 85% improvement in efficiency by eliminating manual reporting tasks and providing real-time insights for faster decision-making.

• Identified issues with payment UI and vendor API for new market of 10k+ customers, proposed redesign to developers and defined a new test strategy, resulting in 25% decrease in checkout abandonment.

• Elevated automated Web services testing capabilities using SoapUI, POSTMAN, and SWAGGER, enabling validation of APIs and enhancing overall system robustness. Software Engineer Sep 2020 - May 2022

Mindteck India Limited Bangalore, India

• Engineered a robust front-end for cloud-based data visualization and monitoring products, improving load times by 30%, utilizing Node.js and ReactJS.

• Developed a web-based annotation tool to display data details and process the results in the backend using Flask and integrated the global annotation tool using Vue.js and Node.js.

• Implemented an API analytics auto-generated report feature for over 500 users of an API monitoring tool by lever- aging Java multi-threading frameworks. Developed JUnit and functional test cases, achieving 73% code coverage.

• Defined E2E test strategy spanning across multiple systems and wrote test plans for NetApp filers including accessibility testing using PyNacl and Nacl frameworks, resulting in an 80% reduction in manual tasks. Software Development Intern Jun 2019 - Jul 2019

Kakunje Software Pvt Lmt Mangalore, India

• Implemented Spring boot applications to support business functionality while applying Android UI principles for new design concepts.

• Developed a streamlined CI/CD pipeline for multiple applications based on build variants, utilizing Jenkins and Docker to automate unit testing and ensure reliable code delivery. PROJECTS

NYC Complaint Analysis:

• Performed ETL processes on NYC complaint data by integrating information from three distinct sources, and subsequently analyzed and visualized the data to derive prescriptive insights. Technologies: Java MapReduce, Python, Tableau.

E-Learning Platform - Video Recommendation System

• Engineered an E-learning web application with a recommendation system using 2 techniques: Data clustering and Collaborative Filtering based on user preferences and viewing history, achieving 73% accuracy.

• Designed an interactive web application user interface with engagement among 1k+ users, seamlessly integrated with Flask to trigger the recommendation algorithm. Technologies: Python, JavaScript, Flask, HTML, CSS.

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