Fatemeh Kermani

I started my career as a lawyer, working mainly on business contracts, tax disputes, and regulatory cases. That gave me a strong foundation in compliance and risk awareness. Over time I became more interested in how data can support decision-making in these areas, so I decided to pursue my Master’s in Business Analytics & AI at UT Dallas.

Now I’m building skills in data analysis, predictive modeling, and visualization, and I’ve been applying them through projects in Python, R, and SQL. With this mix of legal, finance, and analytics experience, I’m looking for opportunities in banking and financial services where I can combine compliance knowledge with data-driven insights.

• Employee Attrition Analysis (R Project)
  One accomplishment I’m proud of is a project where we analyzed employee attrition data using R. I worked on cleaning the dataset, building logistic regression and clustering models, and presenting the results in a way that explained why employees leave. This project helped me improve both my technical skills and my ability to connect data findings to business problems.
• Coursera Capstone Project (Python, SQL)
  Another accomplishment was my Coursera Capstone, where I used Python and SQL to analyze a large dataset and built a dashboard with IBM Cognos. I applied machine learning models and shared the final results on GitHub. This project showed me how to bring together different tools such as data cleaning, modeling, and visualization into a complete solution.

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IBM Data Analyst Professional Certificate (Coursera)