Baalaji Addanki

I am a Data Science professional with a strong background in machine learning, deep learning, and data analysis. With hands-on experience in Python, SQL, TensorFlow, and AWS, I specialize in developing predictive models, time-series forecasting, and NLP applications. My multidisciplinary academic background and strong problem-solving skills enable me to contribute effectively to data-driven decision-making and technological advancements.

I have a solid foundation in data science and machine learning, with experience in developing innovative solutions for predictive modeling, time-series forecasting, and NLP applications. My expertise spans tools like Python, TensorFlow, SQL, and AWS. I've successfully collaborated on projects involving diabetes prediction, urban noise classification, and cloud-hosted heart failure prediction systems.

I excel in data preprocessing, feature engineering, and data visualization, consistently delivering high-quality results and insights to support business decisions.

I am currently pursuing a Master's in Data Science at the University of Applied Sciences Europe, Potsdam, Berlin, expected to graduate in February 2025. My coursework focuses on machine learning, data visualization, cloud computing, and data analytics. This program has equipped me with advanced technical skills and practical experience in the latest data science methodologies and technologies.