About

Vritansh Kamal is a highly skilled and experienced professional with a strong background in data science, machine learning, and natural language processing. He is currently pursuing a Master's degree in Data Science from Columbia University in New York City, after completing his Bachelor's degree in Computer Science and Engineering from SRM University in Chennai. With over 4 years of professional work experience, Vritansh has a research focus on Machine Learning - NLP, including open source technologies such as SpaCy, openNLP, and Stanford NLP. He has worked with major telecom players on the management of their network inventories, and gained extensive research and development experience in large-scale graph visualizations using open source tools. He has also developed a significant hold over full-stack development with Machine Learning (NLP) for UI technologies, and has worked extensively on custom context-based chatbots, intelligent text analysis for intent-based chatbots, and creating precise dashboards using data visualization tools. Vritansh is skilled in developing REST API in Python3 Flask, Spring Boot, and following an apt CICD pipeline via Jenkins, Gitlab, and Sonarqube deploying it in AWS. He has a strong knowledge of data structures and algorithms, and has experience creating precise dashboards using data visualization tools such as Matplotlib, Seaborn, Grafana, and Kibana. Vritansh is open to opportunities, especially as a Machine Learning Engineer, Data Scientist, Software Development Engineer, Product Management, or relevant roles in emerging technologies. He has a research focus on emerging technologies like web3 (blockchain), Industrial IoT, 5G, and Generative Adversarial Networks. He has experience in transforming ideas into actual frameworks and products, and has worked with technologies such as Java Springboot, RDBMS, Computer Networks, Graphs, Data Structures, and Algorithms. Vritansh has worked with leading companies such as Oracle, Verizon, and Deloitte, where he has gained significant experience in developing NLP-based chatbots, microservices, and automations. He has also worked extensively with AWS, Docker, Kubernetes, Elasticsearch, and Fluentd, among other technologies. Overall, Vritansh is a highly skilled and experienced professional with a strong background in data science, machine learning, and natural language processing. He is open to new opportunities and has a research focus on emerging technologies, making him a valuable asset to any team.