Sejal Agarwal Email & Phone Number

Frisco, Texas, United States

• Designed and trained a Neural Network using PyTorch to predict player performance improvements and analyze in-game behavior patterns for individual players.
• Implemented clustering techniques, such as K-means, to group players based on skill levels, allowing for more targeted training sessions and personalized feedback.
• Elevated prediction accuracy by 15% and reduced processing time by 30% by applying regularization techniques and evaluating with stratified cross-validation.

Wilmington, Massachusetts, United States

• Developed a Random Forest model using Scikit-learn for analyzing historical data to predict potential equipment failures and optimize maintenance schedules by 75% saving company resources.
• Executed high-quality C++ source code for real-time applications with Qt, concentrating on efficient memory utilization and upgrading GUIs for compatibility across various platforms.
• Integrated XML and JSON data handling to enhance configuration and operational flexibility of devices.

Alpharetta, Georgia, United States

• Enhanced website accessibility by 45% by implementing functional improvements significantly boosting user experience.
• Worked collaboratively with the development team of 5 to design a predictive suggestion algorithm that estimates the volume of customer inquiries on the website, leveraging an open-source AI model.

Bengaluru, Karnataka, India

• Led development of the ChargerJi app, focusing on scalable cloud infrastructure using AWS for seamless operation and future expansion.
• Used Docker and Kubernetes for containerization and orchestration, improving deployment efficiency and scalability.
• Spearheaded implementation of a recommendation system that analyzes user preferences, charging data, and charger availability to suggest optimal charging locations and times.
• Oversaw technical architecture of ChargerJi platform, incorporating RESTful APIs to facilitate smooth integration with third-party services and devices, creating a cohesive ecosystem for EV charging.

Amherst, Massachusetts, United States

• Analyzed financial data and crafted machine learning algorithm to forecast expenses based on budget trends and expenditures.
• Created an interactive R shiny web app as an educational tool for Qualitative Analysis (DACSS 603) class, facilitating deeper understanding of diverse statistical models through hands-on AI-driven analysis.
• Generated accounting dashboard to automate categorizing expenditures and designed workflow of dashboard on Figma.

Amherst, Massachusetts, United States

• Used Okta Single Sign-On (SSO) to solve various security risks such as number of attack surfaces and streamlines user access.
• Spearheaded a framework for user access management system which provided 30 employees personal login credentials.

Amherst, Massachusetts, United States

• Worked on curating course lectures with the professors, graded assignments, and conducted in class quizzes for interactive learning.
• Held 8 office hours each week to help students with homework problems and clarified calculus concepts for a better understanding of the course.

Kolkata, West Bengal, India

• Developed a dynamic and user-interactive website using HTML, CSS, JavaScript, React.
• Built a back-end system for order management, where product data gets updated automatically with client data and requests received from the website using NodeJS, MySQL, AWS EC2 Server.
• Assessed and troubleshot computer problems for the company.

Master Of Science - Ms, Computer Science

Bachelor'S Of Science, Computational Mathematics