Business Analyst with 10+ years of global experience specializing in strategic business initiation, growth, and technology delivery. Successfully implemented and managed several new cross-functional trade automation solutions and digital transformation projects in telecommunications and healthcare. My unique customer-context experiences help me navigate complex organizational bureaucracies and requirements to build consensus on new projects.

Recently completed the Harvard Business Analytics Program (HBAP), where I completed more than 80 cases across multiple organizations in different industries including retail, technology, telecommunications, healthcare, government (View my analytics Journey).
In another Data Analytics Boot camp completed at Northwestern University, I completed projects ranging from fundamental statistical analysis in Excel to more complex tasks like Data analysis with Pandas and data visualization with Matplotlib. Also implemented an ETL pipeline on structured and unstructured data and created machine learning models to predict credit risk, investment success, and credit card fraud. Utilized tools and Technologies such as Excel, VBA for Excel, Python, Pandas, Matplotlib, Python APIs, SQL, SQLite, SQLAlchemy, Flask, HTML, CSS for data analysis and visualization, Pythons' Scikit learn library, and R programming to implement machine learning algorithms
Currently enrolled in an Introduction to Python programming short course at Carnegie Mellon University.

Excited to combine my technical training and business acumen to continue driving projects to success.

Here is some of my work.