Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Dynamic individual with hands-on experience in Data Analysis and Computer Science and talent for navigating challenges. Brings strong problem-solving skills and proactive approach to new tasks. Known for adaptability, creativity, and results-oriented mindset. Committed to making meaningful contributions and advancing organizational goals.
UIUC:
CS124 - Basic concepts in computing and fundamental techniques for solving computational problems. Intended as a first course for computer science majors and others with a deep interest in computing.
IS107- Data Science Discovery is the intersection of statistics, computation, and real-world relevance. As a project-driven course, students perform hands-on-analysis of real-world data sets to analyze and discover the impact of the data.
COD:
MATH 2115 - Formal study of discrete structures in mathematics. Topics include set theory, combinatorial mathematics, logic, graph theory, Boolean algebra, and formal languages.
CIS 1400 - Includes software design tools such as structure charts, Input Processing Output (IPO) charts, flowcharts, pseudocode, Unified Modeling Language (UML) diagrams, and Graphical User Interface (GUI) wireframe prototypes. Concepts such as documentation, structured design, modularity, Object Oriented Program (OOP) design, and event driven programming are covered. Programming of algorithms are implemented using a high level language that emphasize structured and object oriented design techniques.