Aleksandra Doni

Developed and deployed AI models using Azure Machine Learning, Azure OpenAI (GPT, Whisper), Azure AI Translation, and Azure Speech SDK to enable advanced natural language processing and voice interaction capabilities. Designed and optimized Retrieval-Augmented Generation (RAG) pipelines and implemented embedded AI models for efficient edge computing solutions. Built and integrated agentic AI systems to facilitate autonomous decision-making and enhanced interactive user experiences. Conducted extensive exploratory data analysis (EDA) and engineered new features to improve model performance using statistical techniques and domain knowledge. Led end-to-end machine learning model development including data preprocessing, feature engineering, training, and evaluation with Python, Databricks, Pandas, and Scikit-learn. Managed SQL database processing ensuring smooth integration and efficient storage to support machine learning pipelines. Ensured adherence to security best practices maintainin

Learned fundamental mathematics and statistics for data science. Gained proficiency in R for data analysis and statistical computing. Mastered Python for data science applications. Studied the fundamentals of AI and Machine Learning. Gained experience in BigQuery Machine Learning and learned Hadoop and Spark for big data development.

Gained knowledge of core Artificial Intelligence concepts. Implemented algorithms to program virtual robots. Created animated programming videos for kids to enhance learning.