AVANI DUBEY (She/Her)

United States +1-260-***-**** ad429g@r.postjobfree.com linkedin.com/in/avanidubeyaa3661183 EDUCATION

PURDUE UNIVERSITY Expected May 2024

Master’s in Computer Science Indiana GPA 4.0/4.0(current) ACROPOLIS INSTITUTE OF TECHNOLOGY AND RESEARCH Aug 2018 - May 2022 Bachelor of Science in Computer Science India CGPA 81.86/100 SKILLS

Programming Languages and Libraries: C, C++, C#,Python, Java, JavaScript, TensorFlow, NumPy, Pandas, NLTK, Keras, PyTorch Frameworks and Databases: React.js, Express.js, Node.js, SQL, PostgreSQL, MongoDB, Kivy, Django Technical Skills and Tools: HTML, CSS, OOP, Git, Jenkins, Jira, Docker, Mocha (JavaScript Framework), Cypress, Data Visualization, Data Analytics, Project Management, Web Scraping, AWS, RESTful API, GCP WORK EXPERIENCE

STUDENT ENGINEER Indiana

Purdue University Jan 2023-Present

● Resolved 400+ user domain and technical issues by implementing enhanced security configurations and network policies demonstrating expertise in network administration and cybersecurity practices.

● Led the digitization and optimization of Purdue University's website using HTML, CSS, React and JavaScript.

● Enhanced user experience for Purdue University knowledgebases, achieving a 40% increase in engagement and 25% decrease in bounce rate. Remodeled the automation of ticketing processes, including standardized training protocol creation for new student workers. SOFTWARE ENGINEER Mumbai, India

Wiley Mthree Nov 2021 - Nov 2022

● Contributed to the development of Python-based machine learning models for predictive analysis, optimizing resource allocation and deployment strategies.

● Validated the implementation of automated test result analysis across multiple Wiley Mthree product lines, leveraging Python and Java. This initiative delivered a substantial reduction of man-hours by 90%, streamlining testing processes and enhancing productivity within the organization.

● Proficiently conducted in-depth failure analysis, skillfully resolving critical issues across various product lines. Notably, identified and rectified a significant bug during the debugging process utilizing Git for version control to maintain code stability.

● Designed the upgrade and implementation of Python-based trading flows, resulting in significant cost savings and streamlined system complexity during the migration to an internal venue connectivity solution WEB DEVELOPER Bangalore, India

Inmovidu Technology Pvt Ltd Jan 2020 – Nov 2020

● Developed the design and development of the "About Us" section, significantly boosting user engagement by 25%, elevating website traffic by 30%. Emphasized user-friendly and visually appealing web interfaces through the use of HTML5, CSS, JavaScript, and React. Expanded proficiency in front-end technologies during this process.

● Worked on collections and database creation processes, gaining experience with SQL and MongoDB Atlas, and establishing a cluster for storing collections and databases.

ENGINEERING INTERN Bangalore, India

CRISP (Centre for Research and Industrial Staff Performance) Mar 2019 – Jul 2019

● Collaborated on a Python-based search engine project, successfully extracting and processing data from web pages, ensuring 70% improvement in data accuracy and relevancy.

● Successfully orchestrated the development of algorithms for evaluating web page importance based on link structures, contributing to a 15% enhancement in search engine performance.

PROJECTS

EXPLAINABLE DETECTION OF ONLINE SEXISM - Implemented NLP models for gender bias detection, comparing various architectures on a 14000- entry dataset from gab.com; achieved a peak F1-Score of 77.24% with the RoBERTa model. EVENT REGISTRATION PLATFORM OPTIMIZATION-SWEETWATER- Led the overhaul of Sweetwater's event registration, introducing user login, personalized profiles, and an optimized registration process Utilized advanced technologies (Airtable, Netlify, NodeJS, HTML) to overcome platform limitations, implementing robust security measures and strategically deploying updates for scalability. BLIND ASSISTANT SYSTEM- Developed a real-time object detection system for the visually impaired, integrating a pre-trained SSD model, voice feedback, and trained a CNN for enhanced assistance and backend data management. VIRTUAL ASSISTANT- Designed and developed a Python-based desktop virtual assistant with advanced functionality. Utilized pyttsx3 for speech synthesis, Speech Recognition for audio-to-text conversion, and incorporated features like scheduling, reminders, weather forecasting, and application launching.