About

Karthik Ramanathan is a Senior Data Scientist at Tala with over 5 years of relevant experience in the field of data science and data engineering. He is a curious individual who is passionate about exploring the intersection of data science and data engineering. Karthik has a unique blend of skills in machine learning, data engineering, and data visualization. In his previous roles, Karthik has owned the model lifecycle of 4 production-level models from ideation to deployment to monitoring. He has increased customer engagement on one of the models by 20% by reducing the number of monthly alerts by 3x while maintaining the catch rate. He has also ranked in the top 5% among the 2500+ participants in the data science competition on DrivenData. Karthik is proficient in machine learning and has a Jupyter notebook version of his code available online. Karthik is skilled in data engineering and has built a production-quality data flow by applying software engineering best practices to data. He has built data pipelines using Airflow to automate model monitoring. He has productionized data analysis using Docker, Jenkins, data modeling, and various cloud services, which was released as a new product offering, Uptake Compass. Karthik is also proficient in data visualization and has been part of the team that created the visualizations for the World Bank 2018 Atlas of Sustainable Development Goals. He believes in telling stories with data and has a keen eye for visualizing data in an easy-to-understand manner. Karthik holds a Master’s Degree in Informatics from the University of Michigan and a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Kharagpur. He is proficient in various technologies such as Data Scientist, Research Scientist, Data Engineering, ML, Jupyter, Apache Airflow, Docker, SQL, Jenkins, AWS, CI/CD, and test.