About

Aravind Naidu is a highly motivated Data Scientist with a passion for Machine Learning and AI. He has extensive experience in building practical Machine Learning models for real-world applications, with a focus on developing solutions for social good. Aravind is skilled in various technologies, including Ensemble Learning, Deep Learning, Predictive Analysis, Natural Language Processing, Computer Vision, Optical Character Recognition, and Anomaly Detection. He is proficient in programming languages such as Python, C, and C++, and has experience using frameworks like Scikit-Learn, Pandas, NumPy, Tensorflow, Keras, PyTorch, PyDICOM, Matplotlib, Seaborn, Tableau, Flask, and Apache Spark. Aravind is currently working as a Research Engineer - Machine Learning at Ola, where he is involved in the research and development of Machine Learning solutions for smart mobility. He is responsible for analyzing data to provide insights to engineering teams and optimizing manufacturing processes. Aravind is also involved in battery line data analysis, process improvisation, testing conditions improvisation, and predictive modeling for vehicle parts and safety. Prior to his current role, Aravind worked as a Machine Learning Engineer at Super Simple Software, where he developed data pipelines with Machine Learning capabilities and built PoCs for upcoming projects. He also worked as a Machine Learning Intern at the same company, where he handled clinical data at scale and performed industrial data analytics and anomaly detection. Aravind holds a Bachelor of Engineering degree in Electrical, Electronics, and Communications Engineering from Savitribai Phule Pune University. He also attended Kendriya Vidyalaya Nashik Road Camp for his secondary education. In addition to his technical skills, Aravind has extensive experience in team leading in NGOs and event management. He is also a writer and performer, frequently participating in Open Mics. Overall, Aravind Naidu is a skilled and motivated Data Scientist with a passion for developing practical Machine Learning solutions for social good.