Welcome to my GitHub profile! I'm passionate about leveraging data to drive insights and solutions. With a strong foundation in data science, I specialize in machine learning, statistical modeling, and data analysis. My journey involves exploring complex datasets, creating predictive models, and visualizing trends to unlock actionable intelligence.
- Data Analysis & Visualization: Uncovering insights and trends through data exploration and visualization.
- Machine Learning: Building predictive models using supervised and unsupervised learning techniques.
- Statistical Modeling: Applying statistical methods to drive data-driven decisions.
- Data Engineering: Designing and optimizing data pipelines for efficient data processing.
Continuously improving my skills in:
- Advanced machine learning algorithms such as ensemble methods and deep learning architectures.
- Big data technologies including Apache Spark for scalable data processing.
- Enhancing my knowledge of cloud platforms like AWS for deploying machine learning models.
- LinkedIn: Rahul Shelke on LinkedIn
- Email: rahulshelke981@gmail.com
- End-to-End-Chicken-Disease-Classification:
- Developed a web app to classify chicken diseases from fecal images using VGG16. Built end-to-end pipeline: data preprocessing, model fine-tuning (92% accuracy), and deployed on AWS- EC2/ECR for real-time image upload and classification.
- End-to-End-Text-Summarizer:
- A custom fine-tuned text summarization model deployed on AWS-ECR/EC2. Users can input text, and the app generates concise summaries using a Hugging Face model, optimized on domain-specific data for better accuracy
- LeetCode: [LeetCode profile]
- Bachelor's in Computer Engineering from University of Mumbai
