I developed and implemented predictive models in Python to enhance battery health by accurately forecasting vehicles at risk of overcharging. These models processed large datasets to identify patterns and predict potential risks. I visualized these insights in Jupyter Notebook, using clear graphs and data tables for easier interpretation. Additionally, I integrated these visualizations into Looker Studio dashboards, allowing stakeholders to make informed decisions quickly. This experience in data modeling and visualization not only deepened my technical skills but also provided me with insights on how to design efficient and intuitive interfaces for real-time data monitoring, essential for full-stack development projects. By leveraging predictive analytics, full-stack developers can create smart, responsive systems capable of managing and optimizing workflows, providing users with actionable insights through seamless, interactive dashboards.
Time Delivery Success
I collaborated as part of a development team where I was responsible for user authentication and route handling for API requests. The project involved creating a web platform that allowed students to accumulate class currency as rewards, which they could then redeem for items like class skips and cheat sheets. This experience honed my skills in building secure, scalable, and efficient backend systems, while also ensuring seamless integration with the frontend for an intuitive user experience. Working on this project also strengthened my understanding of API management, secure data transmission, and effective user session handling, key components of full-stack development.
Technical Skills
Languages: Java ,Python, C++, SQL, Java JDBC
Web Development: React, HTML, CSS, RESTful APIs , JavaScript, Nodejs, Express
Data Science: Python (Pandas, NumPy), GCP (BigQuery), Jupyter Notebook, Looker Studio
Tools: Git, SQL Databases
Operating Systems: Windows, Linux