Software Developer, Data Engineer, Data Science, Machine Learning

Priya Gandhi

+1-919-***-**** ********@****.*** linkedin.com/in/priya-gandhi4 github.com/PriyaGandhi311 priya-gandhi.netlify.app EDUCATION

Master of Computer Science North Carolina State University, Raleigh, NC, USA GPA: 3.78/4.00 Courses: Design and Analysis of Algorithms, Automated learning and data analysis, Aug 2024 - May 2026 Software Engineering, Object-oriented design and development, Neural Networks Bachelor of Technology, Computer Engineering DJ Sanghvi College of Engineering, India GPA: 9.14/10.00 Courses: Computer Networks, Database Management System, Operating System, Artificial Intelligence Aug 2019 - May 2023 Machine Learning

EXPERIENCE

Business Technology Solution Associate Sep 2023 - Jul 2024 ZS Associates Pune, India

• Leveraged Salesforce Management Cloud, AWS S3, Zaidyn(internal software), and Hadoop Distributed File System to generate key insights, enhancing operations of 6 brands across 5 European countries by 63% for a multinational pharmaceutical client

• Automated the Data Quality Management (DQM) process with Python, PySpark, Hive, HDFS and SQL, achieving a 27% reduction in overall runtime saving 4 hours of team effort per week

• Collaborated with Accenture and other cross-functional teams to streamline data processing and engaged in User Acceptance Testing (UAT), achieving 100% sign-off indicating client satisfaction Software Developer Jun 2023 - Aug 2023

ICICI Lombard Mumbai, India

• Created APIs for NYSA, a motor insurance product, utilizing .NET to retrieve data from the government’s motor database, and architected a user-friendly front end using TypeScript and AngularJS, resulting in a 24% increase in accessibility. Software Developer (Intern) Jun 2022 - Jul 2022

JP Morgan Chase and Co. Bengaluru, India

• Implemented checkpointing on data streams using AWS’s Apache Kafka and Kubernetes orchestration, enhancing the speed and efficiency of real-time data transfer by 30%

• Developed unit test cases using JUnit and Mockito frameworks to assess the functionality of a data streaming application implemented in Spring Boot, attaining 96% test case coverage Web3 Developer (Intern) Jun 2021 - Aug 2021

Masterbridge Mumbai, India

• Built a Decentralized application (dapp) using Truffle that could keep track of the product in supply chain

• Composed contracts using Solidity language for Ethereum network in Ganache development environment SKILLS

Programming Languages Java, C, C++, Python, MySQL, SQL Server, Ruby, Solidity Web Technologies Typescript, Django, React.js, HTML, CSS, JavaScript, Bootstrap, Node.js, ASP.Net MVC Platforms and Services Spring Boot, Apache Kafka, Kubernetes, AWS Tools Jira, GitHub, Microsoft Office, Excel, Tableau, AutoCAD PROJECTS

Blockchain Based Medicinal Product Traceability System

• Featuring role-based interfaces, devised a React.js web application integrated with Ganache blockchain and Truffle, implementing consensus in Solidity to track medicinal products via QR codes to streamline supply chain traceability

• Authored a chapter titled ”Quick Response Coding Approach for Drug Traceability” in the book ”Unleashing Potentials of Blockchain Technology for Healthcare Industries,” published by Elsevier with Scopus index (ISBN: 978-0-323-99481-1) Neurodegenerative Disease Detection using Deep Convolutional GANs and CNN

• Conceptualized and implemented a solution employing MobileNetV2 CNN model to generate synthetic images for early-stage diagnosis of four neurodegenerative diseases

• Co-authored a paper on the solution which was accepted at 8th IEEE – International Conference for Convergence of Technology 2023 with ISSN: 979-8-3503-3401-2

Multimodal Single Cell Integration

• Devised a solution to predict the modalities like DNA, RNA, and Proteins at single-cell level using Neural Networks

• Pre-processed the huge data using SVD dimensionality reduction technique and then using gelu activation function for dense neural layers predicted the covariance of modalities, offering valuable insights for diagnosing various carcinogenic diseases

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