About

Rahul Saxena is a highly skilled Data Scientist with a passion for working with growth-oriented teams. With 6.94 years of relevant experience, he has a strong background in Python, PyTorch, and AI. He is currently working as a Sr Associate Data Scientist at affine, where he leverages his expertise in machine learning, computer vision, and NLP to develop innovative solutions that drive business growth. Rahul has a proven track record of success in his previous roles, having worked as a Consultant at relevel and Research Consultant at worldquant. At both companies, he provided specialized knowledge and skills to train working professionals and students in the domain of Data Science by providing project reviews and other student support services. In terms of education, Rahul holds a Bachelor of Technology (BTech) in Computer Science Engineering from Guru Gobind Singh Indraprastha University, as well as a Data Analyst NanoDegree and AI for Trading NanoDegree from Udacity. Rahul is highly proficient in a wide range of technologies and tools, including SQL, Scikit, OpenCV, XGBoost, AWS, GCP, Keras, Docker, TensorFlow, and MongoDB. He has a deep understanding of machine learning algorithms, including SVM, Random Forest, and GAN, and has experience in implementing neural networks and normalization techniques. Overall, Rahul Saxena is a talented and driven Data Scientist with a passion for innovation and a commitment to delivering exceptional results. He is always looking for new challenges and opportunities to grow his skills and expertise, and is eager to work with like-minded professionals in a dynamic and fast-paced environment.