I am an experienced Data Scientist with specialized knowledge in financial data analysis, anti-money laundering (AML) compliance, and web scraping solutions. With a year of professional experience as a Data Scientist at LTIMindtree, along with a Master's in Business Analytics from the University of Illinois Urbana-Champaign, I have honed my skills in data extraction, predictive modeling, and compliance reporting.
My work involves analyzing large-scale financial transaction datasets, identifying red flag indicators (RFIs), and supporting compliance audits using advanced analytics. I have experience in web scraping using Selenium and Beautiful Soup, leveraging Python and SQL to extract and analyze data efficiently.
Additionally, I develop user-friendly data visualization dashboards with Streamlit and Tableau, offering actionable insights to stakeholders. Whether it’s enhancing compliance reporting, automating data workflows, or providing financial data intelligence, I am committed to delivering high-quality solutions tailored to your needs.
Let’s collaborate to turn your data into meaningful insights!