2022 - 2024
Masters Degree
University of Maryland, Baltimore County
GPA: 4.0/4.0
constcoder={name:'Neha Nooka',skills:['React', 'Python', 'C#', 'Express', 'Javascript', 'MySql', 'Node.js', 'Docker', 'AWS'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};
Who am I?
My name is NEHA NOOKA, and I am a passionate and dedicated programmer with a strong drive for learning and exploring new technologies. I am a quick learner with a self-motivated approach, always eager to solve challenging problems and create impactful solutions.
My expertise spans multiple areas of web and software development, with a strong foundation in JavaScript and a keen interest in building dynamic, user-friendly applications. I thrive on making technology accessible and effective, contributing to innovative projects that leave a mark. I am open to exciting job opportunities that align with my skills and passion for development.
Signarama
constjob={myRole:Software Engineer,duration:(Aug 2024 - Present),tools: ['Python', 'Dialogflow', 'Trello', 'Automation', 'Task Management],Description: Developed a chatbot using Python and Dialogflow for internal use, improving onboarding and training efficiency by 20%. Designed and implemented automation solutions for Trello boards to streamline task management, resulting in a 35% increase in efficiency.};
University of Maryland
constjob={myRole:Data Science Researcher and Teaching Assistant,duration:(May 2023 - Nov 2024),tools: ['Excel', 'Python', 'Tableau', 'Power BI', 'ETL', 'Data Visualization', 'Natural Language Processing', 'Mentorship],Description: Managed 30+ datasets for the Center for Women in Tech assessment, generating 10+ reports and 30+ visualizations using Tableau and Power BI. Mentored 50 students in Natural Language Processing, providing tutoring and feedback. Employed advanced Excel functions and Python for ETL processes and data visualization.};
Accenture
constjob={myRole:Software Engineer,duration:(Sept 2021- Aug 2022),tools: ['ASP.NET', 'Core MVC', 'MySQL', 'Jenkins', 'CI/CD', 'Unit Testing', 'Performance Optimization', 'Troubleshooting],Description: Redesigned an internal time tracker application using ASP.NET Core MVC, improving user experience and increasing reporting efficiency by 25%. Optimized application performance with unit testing and CI/CD pipelines using Jenkins, resulting in a 15-18% increase in page load times. Utilized advanced debugging and automated testing to achieve a 20% faster page load time.};
La Net Team Software Solutions
constjob={myRole:Software Engineer,duration:(Aug 2020- Sept 2021),tools: ['React Native', 'TypeScript', 'Redux', 'AWS Amplify', 'AWS CloudWatch', 'AWS Pinpoint', 'Real-time Tracking', 'Multilingual Support],Description: Designed and built a ridesharing application using React Native and TypeScript, integrating AWS services like Amplify, CloudWatch, and Pinpoint for efficient data management. Developed a restaurant application with real-time order tracking, interactive menus, and multilingual support, reducing order processing time by 30%.};
Cab Around
constproject={name:'Cab Around',tools: ['React Native', 'GraphQL', 'AWS', 'AWS Amplify', 'AWS S3', 'AWS CloudWatch],Description: Engineered a dual ridesharing app using React Native, GraphQL, and AWS services, achieving 99.5% uptime. Key features include vehicle-type booking, real-time driver updates, seamless payments, a chatbot boosting engagement by 15%, trip histories, and saved locations for 25% quicker bookings.};
Digi Mart
constproject={name:'Digi Mart',tools: ['Java', 'MVC Architecture', 'HTML5', 'CSS3', 'JavaScript', 'Docker', 'Kubernetes', 'AWS],Description: Designed, developed, and deployed an e-commerce website with secure payment gateway integration, utilizing Java, MVC architecture, HTML5, CSS3, JavaScript, and third-party APIs. Containerized the application using Docker and deployed on a Kubernetes cluster for improved scalability and reliability.};
Smart Personal Finance Assistant
constproject={name:'Smart Personal Finance Assistant',tools: ['Python', 'React.js', 'AWS', 'JavaScript', 'Machine Learning', 'Predictive Analytics', 'Pandas],Description: Developed a personal finance assistant using Python and React.js that helps users manage their expenses and savings through predictive analytics and personalized insights, resulting in a 25% increase in savings over six months. Created a machine learning model leveraging historical spending data to categorize transactions and forecast monthly budgets with 90% accuracy.};
Cab Around (User)
Cab Around (Driver)
Cab Around (Trip)
2022 - 2024
Masters Degree
University of Maryland, Baltimore County
GPA: 4.0/4.0
2017 - 2021
Bachelors Degree
Uka Tarsadia University
CGPA: 9.85/10
© Developer Portfolio by Neha Nooka