About

Harish Raj is a seasoned Senior Data Scientist with over 8 years of relevant experience in the field. He is currently working with open financial technologies, where he is responsible for Credit Risk modeling, Fraud Analytics, and Credit score. Harish has extensive experience in data extraction using Web Scraping from various websites, text mining, and natural language processing (named entity recognition) concepts. He is skilled in data manipulation and converting unstructured data to structured data using R. Additionally, he has experience in data extraction from Salesforce through R using RFORCE Library. He is also knowledgeable in Data Visualization tools like Tableau and SQL database queries. In addition, Harish has a deep understanding of Deep learning concepts and libraries such as Tensorflow and Keras. He has experience working both as an individual contributor to projects and as a team player. Harish has previously worked with Lumen Technologies as a Data Scientist and Red Hat as a Business Data Scientist. During his tenure at Red Hat, he was responsible for implementing data mining and statistical machine learning solutions to various business problems such as salesforce company name matching and web scraping real-time information from various sources. He also architected and implemented various machine learning techniques using R to automate legacy manual processes. Harish holds a Bachelor's degree in Electronics & Communication from Impact College of Engineering, where he graduated in 2013. He also completed his P.U.C from P.U College and S.S.L.C from S.A.V.T High School. Harish's tech stack includes Data Scientist, Research Scientist, NLP, Keras, SQL, Web, ML, Deep Learning, Python, test, Tensorflow, Salesforce, Scikit, Random Forest, and Neural Networks. He is a highly skilled and experienced data scientist who is always eager to learn and take on new challenges.