NAGA ANUSHA VIKKURTHI

• Built simulation platform leveraging global climate datasets, improving forecast accuracy by 25%

• Deployed interactive Tableau dashboards, reducing analysis time by 40% and enabling actionable insights

• Designed embedded system for automatic power switching between renewable and backup sources

• ML models (Logistic Regression, Random Forest, K-Means) to predict loan defaults and segment high-risk borrowers

• Engineered a risk score system and automated reporting with DAX measures for real-time monitoring

• Designed and developed IoT-based prototypes integrating sensors, microcontrollers (Arduino, Raspberry Pi), and cloud services (AWS IoT, Azure IoT Hub)

• Programmed IoT devices in Python/C++ for real-time data collection, processing, and remote monitoring

• Implemented MQTT/HTTP protocols for lightweight and secure communication between devices and cloud systems

• Built dashboards in Node-RED and Grafana for real-time visualization of IoT data, improving monitoring efficiency

• Collaborated in cross-functional teams to prototype solutions supporting smart access and automation use cases

• Developed and deployed machine learning models (classification, clustering, neural networks) using Scikit-learn, TensorFlow, and PyTorch

• Pre-processed large datasets with NumPy, Pandas, and performed feature engineering to optimize accuracy

• practical exposure to Kali Linux, Nmap, Metasploit, Burp Suite, ensuring security compliance