Pranav Bansal Email & Phone Number

Everett, Massachusetts, US

Anchorage, Alaska, US

• Actively involved in backend development using NodeJS, Typescript, GraphQL, and MySQL, responsible for crafting and optimizing multiple API endpoints and collaborating with frontend developers.
• Embracing domain-driven design principles to architect and maintain the backend codebase, fostering code organization that enhances maintainability and code quality.
• Actively participate in Agile development methodologies, prioritizing quick feedback loops to ensure the delivery of high-quality solutions that meet customer needs.

Everett, Massachusetts, US

• Designed, implemented and evaluated classification models and rapid software prototypes to solve problems in machine learning and systems engineering to prevent life threatening disease - SUDEP by estimating pose.
• Created a pipeline to automate data processing, cleaning and the training process to use the ML model as a service.
• Transformed raw data to conform to assumptions of machine learning algorithm.
• Developed backend in Python for socket communication with the bed nodes
• Architected and developed a mobile application using React Native to control bed hardware (Korus Bed)

• Building and analyzing network of around 170,000 charities and their board members in England and Wales
• Identifying the social and professional networks that exist between charities and people by studying the changes in these networks over time and any possible effects they might have on access to resources/grants
• Created functions in Python for Building a Network from a given Node(Charity) using NetworkX and BFS, and visualized the graph in Gephi and Cytoscape using algorithms such as Force Atlas and Fruchterman-Reingold

Bangalore, IN

• Developed web application for various businesses using ReactJS for the use of more than 10,000 customers
• Worked with GraphQL and ApexCharts for fetching and displaying sales related data on the dashboard dynamically
• Integrated several APIs for populating data on multiple pages of the website and handled the deployment on AWS

Madrid, Madrid, ES

• Developed the backend of a chrome extension(50,000+ users) of the startup using NodeJS
• Handled website deployment and database management on a Virtual Private Server using PM2 and MongoDB
• Trained a Decision Tree Regressor with 96% accuracy for predicting the Co2 emissions by different flights

Atlanta, Georgia, US

Implemented algorithms such as Biconjugate Gradient, Gauss Jordan elimination etc. for solving huge sparse system of equations using CUDA and Pardiso and compared their efficiencies

Greater Noida, Uttar Pradesh, IN

developed a mobile and a desktop application for Road traffic analysis using Faster RCNN. Collected and prepared the whole dataset by labeling the segments in the images containing vehicles with the help of Python's Labelimg tool. After training the model on the dataset we were able to keep the count of vehicles passing by and also we were able to classify.

Master Of Science - Ms, Data Science

Bachelor Of Technology, Computer Science

Diploma In Music, Indian Classical Music - Instrumental (Violin)

Secondary And Senior Secondary Education, Science