Pranav Bansal Email and Phone Number
With experience as both a backend developer and a machine learning engineer, I have developed expertise in building and optimizing systems using technologies like Node.js, MySQL, TypeScript, JavaScript, GraphQL, Python, and various machine learning frameworks such as TensorFlow, scikit-learn, and PyTorch. My work has focused on creating scalable, efficient software solutions that enhance user experiences, alongside developing models that drive data-driven insights and automation.I am now bringing those skills into my current role, where I work on building intelligent systems that leverage data for predictive modeling and automation. This blend of backend development and machine learning enables me to approach challenges with a unique, multifaceted perspective.I am passionate about building robust systems—whether it’s optimizing databases, developing APIs, or deploying machine learning models. I thrive in collaborative, fast-paced environments that value creativity and data-driven innovation.Technical Skills:• Programming/Web Technologies: Python | R | HTML | CSS | Java | JavaScript• Frameworks: Django | Flask | React.js | Node.js | Express.js• Databases/Query Languages : MySQL | PostgreSQL- GraphQL | MongoDB | SQLite• Libraries : Python – NumPy | Pandas | TensorFlow | Keras | SkLearn | Matplotlib | PyTorch• Libraries : R – dplyr | ggplot2 | mlbench | tidyverse | modelr | glmnet• Tools/Platforms : AWS | Git | Linux | GCP | Hasura | MongoDB Atlas | PowerBI | Heroku | JIRA
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Founding EngineerSoterya, Inc. Oct 2024 - PresentEverett, Massachusetts, Us
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Software DeveloperFlyntlok Jun 2023 - Sep 2024Anchorage, 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. -
Machine Learning InternSoterya Inc Jun 2022 - Dec 2022Everett, 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)
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Research AssistantNetwork Science Institute Nov 2021 - May 2022• 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 -
Front End Development InternApna Business Jun 2021 - Aug 2021Bangalore, 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 -
Web Development InternTero Apr 2020 - Sep 2020Madrid, 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 -
Visiting Research FellowGeorgia Institute Of Technology Jun 2019 - Jul 2019Atlanta, Georgia , UsImplemented algorithms such as Biconjugate Gradient, Gauss Jordan elimination etc. for solving huge sparse system of equations using CUDA and Pardiso and compared their efficiencies -
Artificial Intelligence Intern(Leadingindia.Ai)Bennett University Dec 2018 - Jan 2019Greater Noida, Uttar Pradesh, Indeveloped 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 the vehicle type like car, bus, bike etc.
Pranav Bansal Skills
Pranav Bansal Education Details
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Northeastern UniversityData Science -
Bennett UniversityComputer Science
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Banasthali VidyapithIndian Classical Music - Instrumental (Violin)
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Shakuntalam, Banasthali UniversityScience
Frequently Asked Questions about Pranav Bansal
What company does Pranav Bansal work for?
Pranav Bansal works for Soterya, Inc.
What is Pranav Bansal's role at the current company?
Pranav Bansal's current role is Founding Engineer @ Soterya | Data Scientist | Software Developer.
What schools did Pranav Bansal attend?
Pranav Bansal attended Northeastern University, Bennett University, Banasthali Vidyapith, Shakuntalam, Banasthali University.
What skills is Pranav Bansal known for?
Pranav Bansal has skills like Leadership, Mathematics, R, Git, Data Engineering, Data Science, Classification, C, Mongodb, Microsoft Powerpoint, Microsoft Azure, Data Analysis.
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