Rajarshi Guha
About Rajarshi Guha
Rajarshi Guha is a Lead Data Scientist currently working at AirAsia in Singapore. He has extensive experience in data science, having held various roles in multiple organizations, and possesses strong skills in Python, data visualization, and web analytics.
Work at AirAsia
Rajarshi Guha currently serves as the Lead Data Scientist at AirAsia, a position he has held since 2022. Prior to this role, he worked as a Senior Data Scientist at the same company from 2020 to 2022. His responsibilities include leveraging data science techniques to enhance operational efficiency and improve customer experience within the organization.
Previous Experience in Data Science
Before joining AirAsia, Rajarshi held various data science positions. He worked at dDriven as a Data Scientist from 2018 to 2019 and at the Hydroinformatics Institute for six months in 2017. His experience also includes a role as a Research Assistant at the Institute of Systems Science, National University of Singapore, where he contributed to research projects from 2016 to 2017.
Education and Expertise
Rajarshi Guha obtained a Master of Technology (M.Tech.) in Knowledge Engineering from the National University of Singapore, where he studied from 2016 to 2017. He also holds a Bachelor's Degree in Mechanical Engineering from Jadavpur University. His technical expertise includes proficiency in Python libraries such as Scikit-learn, Theano, Keras, and TensorFlow, as well as skills in web scraping, text mining, and natural language processing.
Skills in Data Analysis and Visualization
Rajarshi is skilled in data visualization and exploratory analysis, utilizing tools such as Tableau and Power BI. He has experience in web analytics with Google Analytics and has developed rule-based and case-based reasoning systems. His background includes a strong understanding of the insurance domain and business process management.
Project Management Methodologies
Rajarshi Guha employs both Agile and Waterfall methodologies in his project management practices. His experience in service design and business process management complements his technical skills, enabling him to effectively lead data-driven projects and initiatives.