Aishwarya Patil

Assisting in instruction and coursework on advanced topics, including neural modeling, causal inference, hierarchical temporal algorithms (HTA), and large language models (LLMs). Supporting students with coding labs, assignments, and project development. Holding office hours to explain complex concepts and guide problem-solving.

Developed a dynamic AI-powered pricing engine, scraped competitor data from JavaScript-heavy sites using Selenium, and integrated regression models based on EDA to predict optimal price points across 3 product lines. Explored agentic architecture approaches (e.g., graph-based workflows) to enable autonomous decision-making in future pricing iterations.. Built and integrated a conversational LLM-based chatbot to handle real-time customer queries, reducing response latency by 50% and improving user engagement. Modularized data processing, model training, and API layers to ensure scalable deployment for pricing and customer interaction modules.

Engaged in various Machine Learning activities using Python including the implementation of 3 regression models, and 2 recommendation systems. Applied statistical formulas to analyze data resulting in a 12% increase in data-driven insights, optimizing decision-making processes.

Developed Python projects, translating software requirements into functional code. Collaborated within a team environment, contributing to code reviews and bug-fixing efforts, enhancing project quality by 20%.

Relevant Coursework: 1. Big Data Systems Intelligence & Analytics 2. Designing Advanced Data Architectures for Business Intelligence 3. Data Science Engineering Methods and Tools 4. Theory & Practical Application AI Gen Model 5. Program Structures and Algorithms 6. Data Management and Database Design 7. Advances in Data Sci/Architecture

Relevant Coursework 1. Theory of Computer Science 2. Cloud Computing 3. Database Management System 4. Data Warehousing and mining 5. Natural language processing 6. Computer Network 7. Machine learning