🎓 M.S. Data Science Candidate at Johns Hopkins University (Expected 2026)
🎓 B.Tech in Computational and Mathematics Engineering, Mahindra University
📍 Baltimore, MD
📧 [email protected]

I am a data science enthusiast with a strong Machine Learning and Deep Learning foundation. My experience spans across various data scinece projects. I thrive on developing innovative solutions using advanced algorithms and models to solve real-world problems. My academic journey and industry internships have equipped me with the skills and expertise to excel in AI, machine learning, and data-driven solutions.

• Developed deep learning models to enhance minimally invasive surgery techniques.
• Detected and classified surgical tools using Faster R-CNN and Vision Transformers.

• Pioneered a dataset that uncovered harmful social norms across different cultures.
• Applied web scraping techniques and cleaned large datasets using BeautifulSoup and Python.
• Utilized LDA and LIWC for data analysis and presented the abstract of a research paper at IC2S2.

• Fine-tuned BERT and RoBERTa models to enhance NER performance in biomedical contexts.
• Achieved high accuracy in classifying images into streets, forests, and mountains with a custom CNN model.

• AI Intern | Veltris (Jan 2024 - Jul 2024)

  • Developed and fine-tuned advanced AI models for biomedical applications.
  • Built custom CNN models for image classification with 99% accuracy.

• AI Intern | KPMG (Jun 2023 - Aug 2023)

  • Developed applications using Language Models such as Flan-T5 and GEC-T5_small.
  • Researched and evaluated the impact of BASEL IV norms on Indian banks.

• Research Assistant | University of Pennsylvania (Jan 2023 - Jan 2024)

  • Created Largest and first dataset on social norms that helped uncover over 10K harmful social norms across different cultures
  • Presented abstract of research paper in field of NLP at IC2S2, archived in ACL

• Python, SQL, R, C, Matlab, HTML, Linux

• Data Filtration: NumPy, Pandas, OS, Scikit-learn, SciPy, Datasets, LIWC, NLTK
• Web Scraping: BeautifulSoup, Requests
• Model Building and Training: PyTorch, Transformer, Wandb, SageMaker, SpaCy, Flair, TensorFlow, OpenCV
• Data Visualization: Matplotlib, Seaborn

• Machine Learning, Generative AI, Feature Engineering, Deep Learning, Computer Vision, NLP, Data Mining

• Deep Neural Network with PyTorch | IBM, Coursera (March 2024)
• LangChain Chat with Your Data Project | DeepLearning.AI, Coursera (Jan 2024)
• Generative AI with Large Language Model (Audited) | DeepLearning.AI and AWS (Nov 2023)
• Introduction to Large Language Model | Google Cloud, Coursera (July 2023)
• Machine Learning Specialization | Stanford & DeepLearning.AI, Coursera (August 2022)
  • Includes: Supervised Machine Learning, Advanced Algorithms in Machine Learning, Unsupervised Learning

• Head of Events | Adventure Club, Mahindra University (2022)
• Event Organizer | Math Club, Mahindra University (2022)
• Volunteer | TATA Memorial Hospital & Mumbai Mobile Creche (2018)

Thanks for visiting my profile! Feel free to reach out to discuss potential collaborations, research, or project opportunities.