Hiya Kothari

Delivered 1:1 and group tutoring sessions on data structures, algorithms, and OOP to over 100+ students. Simplified complex software engineering concepts using real-world analogies, improving student outcomes by 30%. Provided tailored feedback to enhance students’ problem-solving and coding practices in Python, Java, and C++.

Developed machine learning models to analyze PFAS contamination trends using Python (Pandas, Scikit-learn). Converted environmental datasets (CSV) into geospatial TIFFs and raster data for advanced visualization. Presented findings to academic audiences and co-authored contributions toward ongoing environmental AI research.

Managed course enrollments and CPT/OPT advising for 1000+ students, ensuring timely processing and compliance. Automated Excel-based workflows, improving efficiency in data handling and communication tracking. Acted as primary liaison for international students, delivering personalized support and reducing inquiry resolution time by 40%.

Mentored 80+ students in Python fundamentals, debugging techniques, and logic building through labs and office hours. Designed assignments and quizzes in collaboration with instructors to assess comprehension and foster hands-on skills.

Facilitated interactive code-along sessions and review discussions to boost student engagement and retention. Guided students through debugging, code optimization, and clean programming practices in foundational CS courses.