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robinyUArizona/README.md

👋 Hi, I'm Robins!

Welcome to my GitHub profile! I'm a data professional with over 4 years of experience, specializing in Data Science, Machine Learning, and Statistics, with a solid foundation in Software Engineering. My passion lies in transforming complex data into actionable insights and developing scalable machine learning solutions.

🚀 About Me

  • 🔭 Currently Seeking: Data Scientist or Machine Learning Engineer positions.
  • 💼 Experience: Proficient in Python, SQL, AWS, and big data technologies, with expertise in healthcare analytics, NLP, and Large Language Models (LLM).
  • ⚙️ MLOps Skills: Skilled in deploying scalable machine learning solutions and managing the entire data science lifecycle.
  • 🌱 Passion: I thrive on transforming data into powerful insights, helping organizations make data-driven decisions.
  • Fun Facts: I love music, traveling, and playing cricket in my free time.

🔧 Technologies & Tools

  • Languages: Python, R, SQL
  • Cloud: AWS (S3, EC2, RDS, Lambda, SageMaker), Microsoft Azure, Databricks
  • Big Data: Hadoop, Spark (PySpark)
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost
  • NLP & LLM: NLTK, Spacy, Hugging Face, Transformer, BERT, OpenAI, Langchain, RAG
  • Databases: PostgreSQL, NoSQL (MongoDB, DocumentDB)
  • MLOps: Docker, GitHub Actions, MLflow
  • Web Frameworks: Flask, FastAPI

📈 What I'm Working On

  • Building machine learning models for real-world problems.
  • Exploring cutting-edge NLP and LLM advancements.
  • Improving data workflows and MLOps pipelines.

📫 Let's Connect!

LinkedIn

Portfolio


“Turning data into insights, one model at a time.”

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  1. Machine-Learning-Cheatsheet Machine-Learning-Cheatsheet Public

    I created an outstanding Machine Learning Cheatsheet, which serves as a comprehensive and easy-to-follow guide. This masterpiece distills complex machine learning concepts into clear, concise notes…

    TeX 2 1

  2. AML-Fraud-Detection AML-Fraud-Detection Public

    Built a machine learning system for detecting fraudulent transactions, deployed on AWS using Docker with ECR and EC2, and integrated into a CI/CD pipeline via GitHub Actions for continuous updates.…

    Jupyter Notebook 1

  3. Hotel-Booking-Demand Hotel-Booking-Demand Public

    The project aims to help the hospitality industry maximize revenue by predicting booking cancellations using predictive analytics based on factors like stay duration, weather, and seasonality. It a…

    Jupyter Notebook 1 4

  4. MedGPT-DiagnosisBot-LargeLanguageModel MedGPT-DiagnosisBot-LargeLanguageModel Public

    Built a medical chatbot using The GALE ENCYCLOPEDIA of MEDICINE, allowing users to ask questions about diseases and receive precise, informative responses. This chatbot functions as a valuable reso…

    Jupyter Notebook

  5. Statistical-Causal-Inference-Analysis Statistical-Causal-Inference-Analysis Public

    Statistical causal inference analysis helps figure out if one thing really causes another, not just if they happen together. This is important for making good choices in things like creating polici…

    Jupyter Notebook

  6. Enhancing-Retail-Operations-with-LLM Enhancing-Retail-Operations-with-LLM Public

    Built an end-to-end LLM system using Google PaLM2 and LangChain that converts users natural language questions into SQL queries, executes them on a MySQL database, and returns the results.

    Jupyter Notebook