Atharva Mehul Patil
Data Science Projects
A collection of end-to-end projects focusing on statistical modeling, deep learning, and business intelligence.
Other Projects
CourseAid - RAG-based Course Review Platform
Course selection is overwhelming for master's students. Existing platforms like Rate My Professors focus on instructors, not courses holistically. Our centralized hub integrates course descriptions, student reviews, professor-based difficulty ratings, and robust search/filtering to help students make informed academic decisions.
FlexiCal - Calendar Application
Developed a desktop calendar application using MVC architecture, applying SOLID principles and object-oriented design patterns, supporting multiple calendars across time zones, flexible recurring event editing, and exports compatible with Google Calendar and Apple Calendar, delivered iteratively via both CLI and GUI interfaces.
ScreenSage - Testing Assistant
ScreenSage as an AI testing assistant that generates test cases of based on screenshots of the features of your newly developed app. Users can choose from multiple LLMs and set a token size of their choice depending on the granularity of the test cases.
Publications
Genetic Algorithm-Driven Feature Selection Optimization for Skin Cancer Classification
9th International Conference on Soft Computing: Theories and Application (Springer), 2024
Optimized VGG-16 features using Genetic Algorithm (GA) driven PCA, achieving higher skin cancer classification accuracy with 50% fewer features.
Unmasking Hallucinations in LLMs Using Analysis of the LLAMA 2 Model and RAG Intervention
2nd International Conference on Advances in Technology and Management (STM Journals), 2024
Built a RAG-powered Llama 2 trading chatbot grounded in NCFM content, significantly reducing hallucinations and improving response reliability
Internship Experience
January 2025 - June 2025
Quant Intern | ORIM Advisors Pvt Ltd
Developed ML pipeline automating financial research for 5K+ stocks using peer clustering and open-source LLMs, significantly reducing inference costs. Built causal inference engine linking news sentiment to stock movements, quantifying market psychology indicators
May 2023 - August 2023
Industrial Training (DevOps Intern) | Datamato Technologies Pvt Ltd
Engineered CI/CD pipeline from scratch using GitLab, Docker, and YAML for automated deployment of Node.js employee portal. Implemented testing automation including lint testing (Flake8) and unit/smoke testing (Pytest)