About

Ranjith Amirneni is a collaborative Data Science professional with over 5 years of experience in the field. He is currently working as a Lead Data Scientist at EY GDS, where he specializes in Python, Machine Learning, Deep Learning, Natural Language Processing, Statistical and Time Series analysis, and Pyspark. His technical expertise lies in transforming, predicting, modeling, classifying, and performing time series analysis of heterogeneous data into vital information to serve the necessities of clients or customers associated with the organization. Ranjith is highly confident in solving critical problems productively through various approaches. He is interested in working with data using ML and has substantial knowledge and experience in Analysis, Design, Development, Implementation, Migration, Convergence, Manage, Implement Data Science Analytics by working on intuitive Algorithms, Models, Architectures, and frameworks that help organizations effectively capture, store, process, and analyze huge volumes of structured, semi-structured, unstructured, and stream of heterogeneous data sets. Prior to his current role, Ranjith worked as a Lead Data Science Analyst at EY, where he was passionate about working with data using Python, Machine Learning, and Pyspark to solve business problems and bring valuable insights out of data. He also worked as a Senior Data Engineer at HCL. Ranjith holds a Bachelor's degree in Computer Engineering from Koneru Lakshmaiah College of Engineering. He has a diverse Tech Stack, including Data Scientist, Research Scientist, ML, SQL, NLP, Python, Deep Learning, Computer Vision, AWS, Azure, Web, Spark, Kafka, DevOps, test, Random Forest, Docker, Search, RNN, Data Engineering, Pandas, BERT, XGBoost, Keras, Seaborn, Databricks, Word2Vec, Tokenization, Normalization, Corpus, Stop Words, Parts-of-speech, Amazon Athena, Scikit, Data Warehouse, SDET, Kubernetes, Tensorflow, Neural Networks, ETL, and Software Engineer. With 6.03 years of relevant experience, Ranjith is a highly skilled and knowledgeable Data Science professional who is passionate about solving complex business problems using data-driven approaches.