I’m a Data Scientist and AI Developer passionate about transforming complex data into intelligent, deployable solutions.
My expertise spans machine learning, deep learning, NLP, and generative AI, with hands-on experience in building end-to-end AI systems — from data pipelines to deployment.
I focus on practical problem-solving, performance optimization, and building systems that scale in the real world.
- Machine Learning: Supervised, Unsupervised, and Ensemble Methods
- Deep Learning: CNNs, RNNs, Autoencoders, Transformers, Graph Neural Networks
- NLP & Generative AI: RAG systems, LLM fine-tuning, text summarization, embeddings
- Data Engineering: Feature engineering, data pipelines, preprocessing automation
- Deployment: FastAPI, Docker, Streamlit, AWS, Hugging Face Spaces
- Programming: Python, SQL, PyTorch, TensorFlow, Scikit-learn, OpenCV, LangChain
- Analytics & Visualization: Power BI, Plotly, Matplotlib, Seaborn, Pandas
- Tools: Git, VS Code, Jupyter, Anaconda, Linux
Neural Network–Powered Recommender System
Building intelligent, data-driven recommendation engines using Autoencoders, RNNs, and Graph Neural Networks.
Tech Stack: Deep Learning, Python, Recommendation Algorithms, Big Data Handling.
🔹 RAGent
Currently solving problems in data structures and algorithms to strengthen analytical and coding efficiency.
Goal: Reach 100+ problems solved and improve problem-solving consistency.
- Machine Learning Specialization – Stanford University (Coursera)
- Deep Learning Specialization – DeepLearning.AI
- Generative AI with LLMs – Coursera
- Applied Data Science – IBM
- SQL & Data Analytics – HackerRank
- 💌 Email: yagneshsure10@gmail.com
- 🔗 LinkedIn: linkedin.com/in/yagneshsure
- 🧠 LeetCode: leetcode.com/u/yagneshsure10
- 💻 GitHub: github.com/yagneshsure
⚡ "Data is truth, AI is intelligence — I build systems that connect both." ⚡
