I am a data scientist with over three years of experience specializing in Natural Language Processing (NLP) and Recommendation Systems. My passion lies in developing data-driven solutions to complex problems and providing actionable insights to stakeholders. I am always eager to learn new techniques and technologies to stay ahead of the curve. My expertise in NLP has allowed me to develop powerful tools for analyzing and understanding large text data sets. I have extensive experience with various NLP techniques, including sentiment analysis, topic modeling, text classification, and question-answering systems. Additionally, I have worked extensively with recommendation systems. My expertise in recommendation systems includes collaborative filtering, content-based approaches, and matrix factorization. I have implemented these techniques using various tools such as Apache Spark (PySpark) and have experience working with distributed systems like Apache Kafka and Snowflake. In addition to my technical skills, I am an effective communicator and collaborator, able to work with cross-functional teams and present data-driven insights to stakeholders. I am always eager to learn new techniques and technologies to stay up to date in the rapidly-evolving field of data science. Skills: Natural Language Processing (NLP) Sentiment Analysis Topic Modeling Text Classification Question Answering Systems Recommendation Systems Collaborative Filtering Content-Based Approaches Matrix Factorization Apache Spark (PySpark) Apache Kafka Snowflake Python SQL TensorFlow PyTorch Deep Learning Data Visualization Communication and Presentation Skills