Education
MS - Information Systems and Analytics
STEM Designated - CIP code: 11.0501 | University of South Florida, Tampa
Aug 2022 - May 2024 |
GPA: 3.96 |
Transcript |
- Awarded Teaching Assistantships for 2 courses based on class performance.
- Top of the class in Big Data, Data Science / AI Programming, System Design (UML) and Information Security courses.
Course Pathways completed:
ML/AI : Data Mining & Statistical Methods → Machine Learning on Structured Data (Data Science Programming) → Deep Learning → Design Science for AI systems (in-progress)
Data Systems : Advanced Database Management → System Analysis and Design → Data Warehousing (TA), Big Data
Completed Course List and Learning
- ISM6930 AI for Business - in progress (Spring 2024, Dr. Alan Hevner)
- ISM6136 Data Mining (Fall 2022, Dr. Timothy Smith)
- ISM6251 Data Science Programming / Machine Learning (Spring 2023, Dr. Varol Kayhan)
- ISM6930 Tech Foundation of AI / Deep Learning (Fall 2023, Dr. TengTeng Ma)
- ISM6562 Big Data for Business (Spring 2023, Dr. Kaushik Dutta)
- ISM6218 Advanced Database Management (Fall 2022, Dr. Varol Kayhan)
- QMB6304 Analytical Methods for Business (Fall 2022, Dr. Daniel Zantedeschi)
- ISM6155 Enterprise Information Systems (Fall 2023, Dr. Priya Dozier)
- ISM6225 Distributed Information Systems (Spring 2023, Dr. Manish Agrawal)
- ISM6124 Advanced System Analysis and Design (Summer 2023, Dr. Bhuvan Unhelkar)
- ISM6328 Information Security (Fall 2023, Dr. Marcus Green)
Design Science for AI systems, Human-Machine Interactions and Controls, AI usage in various Business domains and contexts (collab with AI practitioners in the industry)
Data Preparation Techniques, Data Imbalances, Errors in Modeling, Metrics for Evaluation, Predictive Analytics
Linear Models, SVM, Ensemble Methods, Text Mining, Neural Networks
Neural architectures, NLP techniques, Image processing techniques, Attention & Self-Attention, Reinforcement Learning
CAP Theorem, SQL/NoSQL, Distributed Stores/Databases/Query-engines(Cassandra, MongoDB, HDFS, Impala, Hive), Distributed Processing(Hadoop MapReduce, Spark)
ERDs, Joins, Subqueries, Views, Indexes, Functions, Analytic Databases, NoSQL
Hypothesis Testing, ANOVA, Correlations, Multiple and Time-Series Regression, Optimization
Case Studies: Risk Management, Quality vs Innovation, Incident Containment, Growth Mindset, AI implementation
OSI Model, Support Services, Web Development
UML - Extensibility, Interaction and Database Modeling, Software Reuse, Deployment, NFRs
Business Drivers, Access Controls, Attack Vectors, Security Operations, Contingency Planning