Resume
Education
2022 - 2023
MIT Schwartman College of Computing
I recently completed the Certificate in Data Science and Machine Learning: Making Data-Driven Decisions at the MIT Schwartzman College of Computing. This comprehensive program covered a wide range of topics, including Unstructured Data, Regression and Prediction, Classification and Hypothesis Testing, Deep Learning, Recommendation Systems, Networking and Graphical Models, and Predictive Analytics.
2023
MIT Sloan School of Management
Earned a Certificate in Artificial Intelligence in Health Care, a comprehensive program that delved into the application of AI technologies in various aspects of healthcare. The curriculum included key topics such as utilizing AI for disease diagnosis and patient monitoring, implementing natural language processing and data analytics to improve healthcare outcomes, and understanding the benefits and challenges of interpretability in machine learning. The program also covered patient risk stratification, the enhancement of clinical workflows, and the integrated approaches to hospital management and optimization. This educational experience has equipped me with a strong foundation in AI-driven healthcare solutions, empowering me to contribute meaningfully to innovative projects.
1999 - 2002
University of California Los Angeles
I received a Master’s degree and completed all coursework and comprehensive exams for the Ph.D., but I did not finish the dissertation in the Social Research Methodology (SRM) graduate program. The program facilitates a deep understanding of quantitative and qualitative research paradigms, ensuring students can critically evaluate, design, and implement research projects.
Core Competencies
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Critical Analysis: Students are trained to critically examine research-based claims, educational theories, and evaluation processes.
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Methodological Expertise: The program specializes in various research methodologies, including statistical inferential methods, qualitative-interpretive methods, and applied methods for program evaluation.
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Data Collection and Analysis: Students acquire skills in developing data collection instruments and performing conceptual and statistical analyses applicable to education and other social sciences.
Skills & Expertise
- I have statistical modeling, machine learning, data visualization, and database management expertise. I am proficient in programming languages like Python and R and data analysis tools like SQL and Excel. I am also experienced in using data visualization tools like Tableau.