About

Arun Rajora is a skilled Machine Learning Engineer at DeepEdge with 2.78 years of relevant experience. He is proficient in various machine learning and deep learning frameworks like TensorFlow, Keras, scikit-learn, etc. Along with Python development, he possesses good management and teamwork skills. Arun is a strong information technology professional with a Bachelor of Technology (B.Tech.) from the Indian Institute of Technology, Roorkee. In his current role at DeepEdge, Arun works as a Machine Learning Engineer, where he applies his expertise in machine learning to develop efficient algorithms for solving complex problems. He has previously worked as a Machine Learning Intern at o9 solutions, where he prepared a machine learning model that could predict future sales using historical sales data. He trained decision tree, random forest, and XGBoost algorithms on the processed dataset, resulting in a MAPE score of 26.172. Arun has also worked as a Deep Learning Researcher at the Machine Vision Laboratory, where he worked on detecting human activities from daily activity of living and fall activity. He developed a proper classification method and an efficient algorithm for the purpose of detecting fall activity. Arun has a strong educational background, having completed his Bachelor of Technology in Polymer Science and Engineering from the Indian Institute of Technology, Roorkee. He also has a pre-processed college alias of IIT. He has completed his schooling from Shivalik Public School. Arun's tech stack includes ML, Python, Deep Learning, Keras, Scikit, C, XGBoost, Random Forest, TensorFlow, and Research Scientist. He has a passion for applying machine learning techniques to solve real-world problems and is always looking for new challenges to enhance his skills.