Hi, I'm Shanmugapriya R R

AI/ML Engineer & Data Scientist

Passionate about developing innovative AI solutions with expertise in Machine Learning, Deep Learning, Computer Vision, and Large Language Models.

Shanmugapriya R R

About Me

Professional Summary

An accomplished undergraduate with a robust foundation in Artificial Intelligence, Machine Learning, Computer Vision, Deep Learning, and Large Language Models (LLMs). I possess proven ability in deploying AI libraries such as TensorFlow and PyTorch, with practical experience in language modeling, recommender systems, and image-based classification.

I am passionate about developing innovative and impactful AI solutions that solve real-world problems. My expertise spans across various domains including natural language processing, computer vision, and predictive analytics.

6+

Major Projects

88.76%

Best Model Accuracy

76.2%

Language Fluency Improvement

Technical Skills

Areas of Expertise

Machine Learning Deep Learning Computer Vision Natural Language Processing

Programming Languages

Python SQL

Libraries & Frameworks

PyTorch TensorFlow Keras Scikit-learn Pandas NumPy Streamlit

Tools & Technologies

Jupyter Notebook Google Colab Git AWS MySQL

Featured Projects

Next Word Prediction System

Python PyTorch LSTM GPT-2 Hugging Face

Developed LSTM and Transformer-based GPT-2 models on the WikiText-2 dataset. Processed over 73,000 text lines using advanced NLP techniques and achieved 21.43 validation perplexity with 76.2% improvement in language fluency.

21.43 Validation Perplexity
76.2% Fluency Improvement

Solar Panel Defect Detection

Python PyTorch ResNet-152 YOLO11n OpenCV Streamlit FastAPI

Built a deep learning pipeline for classifying and detecting 6 types of solar panel faults using labeled images. Applied advanced image preprocessing and trained YOLO11n using annotated bounding boxes.

88.76% Test Accuracy
60% Time Reduction

Interactive Tourism Analytics Dashboard

Python Scikit-learn XGBoost Streamlit

Developed a comprehensive analytics dashboard with hyperparameter tuning using GridSearchCV. Applied XGBoost for attraction rating prediction and built hybrid recommendation engine using cosine similarity.

0.7283 R² Score
67.46% Classification Accuracy
40% Recommendation Improvement

Education & Certifications

IITM Pravartak Certified Advanced Programming Professional and Master Data Science

Jan 2025 - May 2025

IITM Guvi

Bachelor of Arts in Sociology

Jul 2019 - Apr 2022

MOP Vaishnav College for Women, Chennai, IN

CGPA: 7.52

Professional Certifications

Scikit-Learn for Machine Learning - Guvi
MySQL - Guvi
Probability and Statistics for Data Science - Guvi
Data Analytics Using Pandas - Guvi
Python - Guvi

Get In Touch

Let's Connect

I'm always interested in discussing new opportunities, innovative projects, or collaborations in AI and Machine Learning.