About

Andraju Muralidhar is an agile and high-performing data science consultant with over 8 years of progressive hands-on experience in deep learning, machine learning for classification, time series, and regression. He is an expert in data sciences and machine learning practices using Python and R, and has deployed deep learning and machine learning algorithms for large-scale projects. His expertise includes deep learning (CNN, RNN, DNN) with an understanding of RNN (LSTM), data mining techniques with a strong understanding of structured and unstructured data, descriptive statistics, and predictive modeling. Andraju has analyzed business information to identify process improvements in increasing business efficiency and effectiveness. He has experience working with Azure and his tech stack includes SVM, BERT, SQL, NLP, Docker, MongoDB, AWS, text classification, XGBoost, random forest, Keras, Neo4j, Databricks, Word2Vec, Scikit, CI/CD, TensorFlow, ETL, Flask, and PyTorch. Currently, Andraju serves as a Senior Data Scientist at Krisopia, where he is solving text and image-related problems for research scientists and deploying solutions for a wide range of users. In his previous role as an Assistant Manager at WNS Global Services, he provided a wide range of solutions to the pharma industry, including understanding medical doctors' feedback, classifying research papers with respect to categories, understanding user experience written in social media, and providing answers to questions asked by medical doctors in the portal using machines. He also developed and deployed solutions on a large scale. Andraju's past experience also includes working as a Software Engineer at EPAM Systems, where he provided solutions for forecasting for a leading food chain industry and developed business intelligence solutions for HR problems. He holds a Master's degree in Computer Science from CMRCET and has relevant experience of 9.54 years.