Tech-focused IoT and embedded systems intern with experience in ESP32-based Smart Energy Meter (95% report accuracy) and data science (90%+ ML accuracy). Skilled in Python, C/C++, Firebase, and real-time system design.
Tech-focused IoT and embedded systems intern with experience in ESP32-based Smart Energy Meter (95% report accuracy) and data science (90%+ ML accuracy). Skilled in Python, C/C++, Firebase, and real-time system design.
GPA: 7.5
Percentage: 65
Percentage: 82
Hard skills
Soft skills
Built a fully responsive weather app using Google APIs, which works on real-time changing weather using HTML, CSS, JavaScript, and APIs
Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data, using a data set such as the Bank Marketing data set from the UCI Machine Learning Repository
Built a smart energy meter with ESP32 and AFE for real-time power monitoring, AI-based reports, load control, theft detection, and capacitor-based power factor correction.