Aashay Kulkarni Email & Phone Number

As a Research Assistant in Data Science at AWSi, I navigate the entire data science life cycle, from data processing and analysis to machine learning and visualization. My role at the Smart Energy Lab allows me to leverage my skills on energy, network, and related datasets, focusing on advanced technologies like federated learning, which supports collaborative and privacy-preserving machine learning across distributed data sources.Currently pursuing my Master's degree in Computer Science at Saarland University, I am continuously deepening my understanding of data science and machine learning. Previously, I tutored the Human Computer Interaction course at the same university, helping students with user interface design and evaluation. My journey also includes several online courses and certifications in Python, machine learning, and automation, which reflect my passion and curiosity for data and technology.My professional experiences have equipped me with a diverse skill set, including programming languages like Python, R, SQL, and C++, and proficiency in libraries and tools such as Keras, PyTorch, TensorFlow, Scikit-learn, and Docker. I have contributed to research projects, developed anomaly detection models, and created multiple visualizations, ensuring data-driven decision-making.I am always eager to learn and collaborate on research and implementation projects. I am passionate about exploring how data science and machine learning can solve real-world problems and create value across various domains and industries. If you would like to discuss anything or have a quick chat, feel free to message me on LinkedIn or email me at aashayk7@gmail.com.

Listed skills include Leadership, Git, Project Based Learning, Data Science, and 24 others.