Hi, I'm Aniket, a passionate Data Scientist with a Master's degree in Data Science from RWTH Aachen University. With experience in both industry and research settings, I have honed my skills in developing cutting-edge solutions using advanced machine learning techniques.During my time at BASF SE, I worked as a Data Scientist, where I had the opportunity to delve into the realm of deep learning. I successfully developed a sophisticated pipeline using Graph Neural Networks and Self-supervised learning, implementing the architecture using Python with PyTorch.At E.ON Energy Research Center, I worked as a graduate research assistant and completed my Master's thesis. My thesis focused on Topological Optimization of Power Grid Networks using Multi-Agent Reinforcement Learning. By deploying Attention with Position-wise Feed Forward network using PyTorch, I achieved groundbreaking results in optimizing power grid networks.In addition, I have extensive experience in forecasting analysis for aircraft turbo-engines. I utilized Variational Auto-encoders for dimensionality reduction and deployed a Conv-LSTM model for accurate forecasting, achieving an impressive RMSE of less than 7%.I have also contributed my expertise as a Data Scientist at Vodafone and Teras Energies in India, where I worked on deploying Deep Learning models and handling relational databases using SQL. Additionally, I have proficiency in Databricks, PySpark, and Tableau, enabling me to derive valuable insights from complex datasets.I am excited to leverage my skills, knowledge, and passion for data science to tackle new challenges and drive impactful solutions in the field. Let's connect and explore opportunities to make a meaningful impact together.