Transforming financial data into actionable insights for risk management, compliance, and strategic decision-making.
I am a Data Scientist with a Master's in Business Analytics from the University of Illinois Urbana-Champaign. Currently working at LTIMindtree, I specialize in financial data analysis, anti-money laundering (AML) compliance, and predictive modeling. My expertise spans across using Python (NumPy, Pandas, Selenium, Beautiful Soup), SQL, and Streamlit to develop scalable solutions for financial institutions. With a strong focus on risk assessment, historical data analysis, and machine learning techniques, I help organizations improve compliance, uncover risks, and make data-driven decisions. Let’s connect and explore how I can help turn your data into actionable insights.
Work Terms
I am available for freelance work Monday to Friday from 10 PM IST to 1 AM IST. On weekends (Saturday and Sunday), I can dedicate 12-14 hours to projects, However, this may vary depending on personal commitments. I am committed to delivering high-quality work within the time frames and am flexible with project requirements. My communication style is responsive and collaborative, and I prefer to keep in touch via mail, messaging platforms, or calls for updates and clarifications. I ensure clear and timely communication to meet project goals effectively.