Mahvash Maghrabi

ad24xi@r.postjobfree.com LinkedIn: mahvash-maghrabi +1-425-***-**** GitHub: mahvashmaghrabi __EDUCATION Northeastern University, Seattle, WA January 2022 - Present Master of Science in Computer Science GPA - 3.70/4.00 Dr. Babasaheb Ambedkar Technological University, Maharashtra, India June 2017 - June 2021 Bachelor of Technology in Computer Science GPA - 3.50/4.00 __TECHNICAL KNOWLEDGE Operating Systems : Ubuntu, Microsoft Windows, Android, Mac OS, Linux, Unix Programming Languages : Java, Python, C, C++, Prolog, R, PHP, C#, .NET, Go, Azure, GCP, Ruby, Rust Databases : MySQL, MS SQL, Oracle, PostgreSQL, MongoDB, TSQL, NoSQL, SQL Queries Web technologies and Frameworks : HTML5, CSS, JavaScript, ReactJS,NodeJS, jQuery, Typescript, Angular, Flask ML Packages : Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, SciPy, NLTK, PyTorch, TensorFlow, Keras Tools : Eclipse, Jupyter, Visual Studio, IntelliJ IDEA, Datadog, PyCharm, Jira, Harness,Test, DevOps Tools : Docker, Git, Jenkins, Postman, Bitbucket, Kubernetes, PowerShell Certifications : AWS Academy Cloud Foundation, AWS Academy Cloud Architecting _WORK EXPERIENCE Impinj, Seattle, Washington June - September 2023

Software Engineer Intern

● Designed, developed and deployed the Plexus Inventory full-stack application, leveraging C# for the backend, TSQL, RESTful API, and Gherkin for comprehensive functionality.

● Collaboratively optimized database structures, enhanced data integrity, and actively contributed to code reviews, resulting in improved code quality and system performance. Incorporated a SQL linter that boosted codebase performance and maintainability. Khoury College of Computer Sciences, Seattle, Washington August 2022 - May 2023 Graduate Teaching Assistant

● Leading weekly code review sessions for 30+ students, resulting in an increase in understanding and application of Java programming concepts. Assessed student assignments and provided comprehensive feedback to guide their learning and improvement. Quinnox Consultancy Services, Mumbai, India July - December 2021 Software Developer Trainee

● Developed and implemented a Java-based airline reservation system that integrated flight details from multiple sources and enabled users to book flights. Utilized Java for backend development and JDBC to access and interact with the database. Aiolos Cloud Solutions, Aurangabad, India May–August 2020 Data Science Intern

● Performed extensive data analysis on an insurance company dataset to identify key features impacting customer premium payments using machine learning algorithms which helped identify three critical factors contributing to non-payment. Identified three critical factors contributing to non-payment through rigorous data exploration and analysis. __PROJECTS Collaborative Itinerary Planner March–April 2023

● Designed and implemented a distributed system which allows users to create and share their travel plans to facilitate seamless coordination among a group of people. The system was implemented in Java and incorporated algorithms such as Distributed Mutual Exclusion, 2PC Group Communication, Clocks, and PAXOS and Fault Tolerance to ensure seamless coordination and communication. Sentiment Analysis of Amazon Reviews March–April 2023

● Performed text preprocessing on customer reviews of Amazon products using Python. Developed a sentiment analysis model that achieved an accuracy rate of 92% on the cleaned dataset using classification models like Random Forest, SVM, Decision Trees, KNN, Convolution Neural Network.

Twitter Clone - Realtime Tweet App November–December 2022

● Built a full stack Twitter clone that allows anyone to read status updates, style posts, log in/create accounts to write, edit and delete posts. Utilised JavaScript, ReactJS for frontend and MongoDB, Mongoose, RESTful APIs for backend. Deployed the app on the web server via Render as the web hosting service.

Database Mining November–December 2022

● Extracted the data from an XML document and stored it in a SQLite database (OLTP). The data from the transactional database was extracted to create an analytical database using star schema in MySQL (OLAP). The two different databases were connected simultaneously to perform Data Mining. Also gained experience in Data Warehousing, ETL, SSIS, star schema and relational databases. Bird Strikes Database September–October 2022

● Designed and developed a logical data model and relational schema using MySQL for analyzing bird strikes on an aircraft. Implemented data normalization techniques to minimize data redundancy and improve data integrity using R language and various SQL queries. Wikipedia Comment Classifier April-May 2022

● Built a Machine Learning model that could classify wikipedia comments as a personal or non-personal attack using information from multiple annotators. Leveraged popular Python libraries such as scikit-learn, matplotlib, pandas, and numpy for efficient data preprocessing, model training, evaluation and visualization. __RESEARCH EXPERIENCE

● Collaborating in an ongoing research to reproduce the innovative PHORHUM methodology, with a focus on advancing photorealistic 3D human reconstructions from single monocular RGB images for synthetic AI applications. Sept 2023 - Present

● Contributed to a computer vision research project that explores the influence of various image formats on computer vision tasks, utilising machine learning methodologies. May 2023 - Present