Brinda Patel

About Brinda Patel

I am a software engineer with experience in full-stack development, specializing in building applications using Python, Django, React, Node.js, and cloud platforms like AWS and Azure. My focus is on creating technology solutions that improve processes and enhance functionality, particularly in data management and system integration.Currently, I’m pursuing a Master’s in Computer Science at Pace University. In my role as a Data Analyst at the Metropolitan Transportation Authority (MTA) in New York, I manage complex data systems and develop Power BI dashboards to support asset management and operational decision-making.With a solid background in backend and frontend development, databases, and cloud technologies, I am looking for an entry-level software engineering position where I can apply my skills to meaningful projects. I am also deepening my understanding of AWS Cloud and actively participating in tech communities like GDG Women in Tech and GDG Gen AI.Technical Skills- Programming Languages: Python, Java, C++, C, jQuery, JavaScript, TypeScript, PHP, HTML, CSS, SQL, Bash - Web Development: React.js, Next.js, Redux, Bootstrap5, Django, Node.js, Express.js, RESTful API, Ant Design, Material UI, Tailwind - Cloud Platforms: AWS, Azure, Netlify - CI/CD Tools: Jenkins - Payment Integration: Stripe, Razorpay - Databases: MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Firebase - IDE: Visual Studio Code, Eclipse, PyCharm, NetBeans - Software/Tools: Power BI, Power Automate, Microsoft 365, Git, Postman, Slack - Operating Systems: Windows, macOS, Linux

Experience

1. Analyst

   Metropolitan Transportation Authority

   Sep 2024 — Present · US

   Developing a Power BI dashboard that integrates Hexagon data, enhancing decision-making speed and maintenance efficiency, enabling faster responses to operational challenges, and facilitating asset management.• Managing work orders across 472 stations in 4 districts using Hexagon, improving asset tracking accuracy, reducing downtime, and integrating systems for real-time tracking while cutting coordination delays.• Streamlining data cleaning and structuring of records with Python’s Pandas and NumPy, increasing processing speed and reducing reporting errors. Integrating Azure Data Lake for seamless visualization.

Education

• Pace University - Seidenberg School of Computer Science and Information Systems

  Master's degree

  2023 — 2024

• APOLLO INSTITUTE OF ENGINEERING AND TECHNOLOGY

  Bachelor's degree

  2017 — 2021