I have spent nearly 4 years doing number crunching and risk management for a banking and finance business, and I am keen to continue developing a career in the field of risk analytics and Data science. I have a sound data analysis experience in a bank where I was performing analysis, research, model development, implementation, testing & verification, documentation, presentation & reporting to senior executives.

 I have good knowledge in Excel, R, Python, SAS, Machine learning, SQL query, and data-driven optimization are the rhythm of the drumbeat I march to. As much as I’m into data manipulation, it’s the analysis of data that really gets me going. I like to explore the relationships between numbers and translate digits and spreadsheets into stories. In the age of big data, these stories become actionable solutions and strategies for businesses, and I take pride in my ability to make data accessible to decision-makers. On a personal level, I am detail-oriented, organized, and precise in my work; the only thing cleaner than my room are my spreadsheets. 

I have strong communication skills with a knack for clear and illuminating presentation. I’m comfortable on my own facing the numbers, but I really enjoy being part of a motivated team of smart people.