About

Rajeev Ranjan is an experienced Machine Learning Scientist with over 8 years of experience in deep learning, machine learning, advanced analytics, and software development. His key skills include expertise in Python, Scikit-Learn, R, Spark, Javascript, PyTorch, Tensorflow, and Keras. He is well-versed in quantitative methods such as generalized linear models, mixed-effect models, SVMs, random forest, GBM, time-series forecasting, and probabilistic graphical models. He also has experience in NLP, deep learning, image processing, and computer vision. Rajeev has worked with startups and global Fortune 500 clients across Consumer Goods, Insurance, Media, and Technology. Currently, he is working as a Data Scientist 2 at PayPal. Prior to this, he has worked as a Machine Learning Scientist at ObserveAI and Senior Data Scientist at Freshworks. Rajeev holds a Masters in Science (Computer Science) degree from CMI Chennai, where he focused on Machine learning+Statistics, and a Bachelors in Engineering (Computer Science) from IIIT Jabalpur (India). He has a diverse tech stack, including Research Scientist, ML, Data Scientist, Deep Learning, NLP, Python, Keras, Random Forest, Scikit, Computer Vision, Image Processing, Spark, Pytorch, Javascript, Tensorflow, Software Engineer, CNN, SQL, AWS, Sentiment Analysis, Recommendation system, Naive Bayes, SVM, XGBoost, AI, RNN, Word2Vec, OpenCV, Neural Networks, MySQL, GCP, and Mobile. With relevant experience of 8.62 years, Rajeev is a highly skilled Machine Learning Scientist who can deliver exceptional results in complex projects. He has a proven track record of solving challenging problems in various domains, and his expertise in machine learning and deep learning can help organizations to drive innovation and growth.