About

Aman Madaan is a data science professional with a passion for problem solving and a strong background in data engineering, data analysis, and data science domains. He is currently working as a Data Scientist | Advanced Analytics at ANZ, where he is responsible for leading teams and projects through extensive planning, risks, and other time critical tasks. He is particularly interested in risk tech and FinCrime, and excels at plotting insights for business outcomes. Aman's experience includes working on a range of projects, including SAS modernization POC, FINCRIME, and Capital Risk Modelling. He has experience in requirement gathering, converting SAS scripts manually to Python, deploying SAS jobs to IBM Cloud Pak 4 Data, and researching automation and integrating Sas2Py to convert code to Pyspark. He has also developed a Shiny App/Dashboard to integrate Capital Risk Model into a shiny app, fixed multiple bugs in the code, and introduced multithreading/multiprocessing within Shiny Dashboard to download all data files at once. He has utilized DBI Package to connect to databases for data and added HashiCorp to add a security layer to Rstudio Connect Server, among other achievements. Prior to his current role, Aman worked as a Data Engineer | Advanced Analytics at ANZ and a Program Coordinator at Monash Graduate Association. He has a Master's degree in Data Science from Monash University, where he focused on data modeling, warehousing, and database administration, and a Bachelor's degree in Computer and Information Sciences and Support Services from Chitkara University. Aman's technical skills include data science, research science, data engineering, Python, SQL, ETL, and software engineering. He has 2.11 years of relevant experience and is committed to learning, building, analyzing, and repeating to continually improve his skills and knowledge.