Welcome to my GitHub profile! I am a passionate Data Scientist and Machine Learning Engineer currently pursuing a Master's degree in Applied Data Science at Indiana University, Bloomington. My experience spans from deep learning, image generation, and sentiment analysis to leadership in tech communities.

🌟 My Motto: Never stop learning and building!

• Overview: This project focuses on detecting wildfires using Vision Transformers. The model I developed achieved 97.80% accuracy, outperforming the current standard by 2.14%.
• Technologies: Python, PyTorch, Vision Transformers, OpenCV
• Highlights:
  • Preprocessed a dataset of 2,700 images, including image augmentation.
  • Implemented cascading multi-class classification with 88.51% accuracy.

• Overview: This project extracts and analyzes product reviews from online retailers to gain actionable insights into customer sentiment.
• Technologies: Python, BeautifulSoup, Pandas, NLP, Scikit-learn
• Highlights:
  • Developed advanced spam filtering techniques, reducing false positives by 20%.
  • Integrated the web scraping model with analytics tools, boosting productivity by 40%.

May 2023 - July 2023

• Fine-tuned deep learning models for image generation, resulting in a 30% reduction in training time and improving overall efficiency.
• Applied transfer learning techniques on Stable Diffusion, enhancing image generation accuracy by 20%.
• Developed an automation layer for text models to intelligently prompt image models, improving user query responses.

• Indiana University Bloomington
  • Master of Science in Data Science
  • Focus: Applied Data Science
• Vellore Institute of Technology
  • Bachelor of Technology in Computer Science and Engineering
  • GPA: 3.5/4.0

• Languages: Python, Java, C++, SQL, HTML, CSS, JavaScript
• Data Science & ML: TensorFlow, PyTorch, Scikit-learn, Pandas, Keras, Vision Transformers
• Tools & Frameworks: Tableau, Excel, SSIS, Git, Docker
• Certifications:
  • Machine Learning A-Z™: Python & R in Data Science (Udemy)
  • Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)
  • Data Analysis Using Python (IBM)
  • The Joy of Computing using Python (NPTEL)

Currently expanding my knowledge in:

• Advanced Computer Vision techniques.
• Transformers and Generative AI.
• Big Data tools like Hadoop and Spark.

Apr 2022 - May 2023

• Organized two major technical events with over 600 participants, achieving a 50% increase in attendance.
• Spearheaded a 36-hour hackathon, ensuring smooth execution and high participant engagement.

• LinkedIn: linkedin.com/in/aarya-pabha
• GitHub: github.com/aarya-pabha
• Email: [email protected]

Feel free to reach out for collaborations, mentorship, or any exciting project ideas! 😄

Thanks for stopping by! ✨