About

Rahul Misal is a highly skilled Data Science Analyst with over 4 years of experience in the field of Machine Learning and Data Science. He has a passion for solving complex data problems and enjoys the process of building and determining solutions. Rahul's portfolio and projects can be found on his Github and personal website. In his current role at Pattern, Rahul is responsible for analyzing data and developing algorithms to identify patterns and trends. He has strong technical skills and experience in a range of tools and technologies, including Numpy, Pandas, Matplolib, Seaborn, Scikit-learn, and many other Machine Learning libraries. Rahul has worked on problems such as classification, regression, dimensionality reduction, clustering, and ensemble methods. He also has hands-on experience with Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Network using Tensorflow and Keras deep learning libraries. Rahul has also worked on Natural Language Processing using re, NLTK, Textblob, and spacy. Prior to his current role, Rahul worked as a Data Scientist at Coditation Systems, where he gained a good understanding of Statistical Analysis, Statistical Inference, Hypothesis testing, and A/B testing. He also has experience working with big data tools like HDFS(Hadoop distributed file system), Apache Spark frameworks, Apache Zookeeper, and Apache Hive. Rahul has a basic understanding of Quantum Computing using Qiskit Aqua. Rahul began his career as an Associate Software Engineer at Accenture, where he gained experience in delivering client testing requirements by doing manual as well as automation testing. He has hands-on experience with HP ALM, UFT, Selenium, Cucumber, and Tosca. Rahul holds a Bachelor of Science (B.Sc.) degree in Physics from Yashwantrao Chavan Institute of Science, Satara. He has also completed higher secondary education in Physics from the same institute. In addition to his technical skills, Rahul has experience with various cloud platforms such as AWS, Azure, and Salesforce. He is proficient in programming languages like Python, SQL, and has experience in frontend development. Rahul is a quick learner and enjoys exploring new technologies.