Bengaluru, Karnataka, India
I thrive at the intersection of data, technology, and problem-solving. With a strong academic foundation in Statistics, Mathematics, and Computer Science, and hands-on experience in the insurance and financial services industry, I bring both analytical rigor and business context to every project. I enjoy transforming complex data into clear, actionable insights that drive smarter decisions. Beyond technical skills, I take pride in my ability to build relationships, foster collaboration, and lead with purpose. From coordinating university events to mentoring peers, leadership and teamwork have been a constant part of my journey. 💡 Technical Toolkit: Proficient: Tableau, Python (scikit-learn, NumPy, SciPy, Pandas), Excel Knowledgeable: SQL, R, C, Java Familiar: NLP (spaCy, text processing)
Global Facultative Re
•Assisting the clients quantify their exposure to make critical decisions around issues such as portfolio management, individual risk assessment, and pricing. • Data cleansing, enhancing and analysis of COPE information (Construction, Occupancy, Protection and Exposure) and secondary modifiers for multiple lines of business. • Applying financial policy terms in the model as per instructions given by Underwriter. • Reconciliation of data to identify the reason of variations in the exposure results as compared to previous portfolio. • Create/ modify/ run Python and VBA scripts to perform day to day process steps. • Exposure to natural perils model platforms like OED and AIR. • Conducting refresher training sessions for the team.