En Dru

Trained and applied YOLO models for detection and counting, including data research, annotation, curation, and remote implementation.

Created a predictive classification model for personality types using behavioral data, including data exploration, preprocessing, and model evaluation.

Developed a machine learning model to classify hate speech in Indonesian text, including data cleaning, feature extraction, and model training.

Designed and implemented an IoT-based smart traffic light system using ESP microcontrollers, YOLOv11 object detection, and fuzzy logic to adjust signal timing based on traffic flow.

Developed a wireless sensor network simulation using OMNeT++, focusing on sensor node placement and data transmission for smart monitoring systems.

Analyzed stocker performance using operational data, performing data cleaning, EDA, and building a dashboard to provide actionable insights.

Conducted data analysis on historical weather data in Mumbai, including preprocessing, statistical analysis, and predictive modeling.

Grade: 3.8

Pursuing a Bachelor's degree in Informatics with a focus on Data Science and Data Analysis, maintaining a GPA of 3.8.

Completed online courses in data science and generative AI, including HarvardX Data Science: R Basics and Python for Data Science Project.

Completed various online courses in data science and generative AI, including HarvardX Data Science: R Basics and Python for Data Science Project.

Completed Google Cloud courses covering data, ML, AI, and responsible AI principles.

Grade: 88.6

Completed secondary education with a Science major, achieving an average score of 88.6.