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martijnooo/README.md

Hi, I'm Martijn 👋

Data Scientist & AI Engineer Building real-world projects in data science, applied machine learning, and AI systems. I come from a background in venture capital, which gives me a strong analytical and strategic foundation for working with data and building impactful solutions.

🔍 About Me

  • 📊 Transitioned into data science & applied machine learning
  • 💼 4.5 years in venture capital with experience analyzing companies, markets, and quantitative datasets
  • 🧪 Building AI systems using agents, computer vision, neural networks and much more
  • 🏄 Outside of tech: surfing, photography, fitness, and exploring new places.

🚀 Projects

Take a look at the projects I am mostly proud of:

🤖 Multimodal Chatbot

An intelligent conversational agent designed to handle diverse data inputs, moving beyond simple text to provide a richer user experience.

  • Key Features: Supports text, image, and document-based queries using advanced LLM integration.
  • Technical Highlights: Implements Retrieval-Augmented Generation (RAG) to provide context-aware answers from uploaded files.
  • Tech Stack: Python, LangChain, OpenAI/Gemini APIs, and Streamlit for the interface.

📈 Prediction Project

A comprehensive data science project focused on building and deploying machine learning models to forecast outcomes based on historical data.

  • Key Features: Features a full data pipeline—from exploratory data analysis (EDA) and cleaning to model training and evaluation.
  • Technical Highlights: Utilizes ensemble learning or regression techniques to optimize accuracy and minimize out-of-sample error.
  • Tech Stack: Python, Scikit-learn, Pandas, Matplotlib, AWS .

🗂️ Flashcards App

A functional productivity tool built to streamline learning through active recall and organized study sessions.

  • Key Features: Allows users to create, categorize, and review digital decks with a clean, responsive UI.
  • Technical Highlights: Focuses on efficient state management and local data persistence to ensure a seamless study flow.
  • Tech Stack: LLMs & Langchain.

📫 Get in Touch

Thanks for stopping by — feel free to explore my repositories or reach out if you'd like to collaborate!

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  1. multimodal-chatbot multimodal-chatbot Public

    multimodal AI chatbot built with Streamlit, LangChain/LangGraph-style agents, Pinecone RAG, Whisper transcription, SQLite document registry, and LangSmith tracing.

    Python

  2. prediction-project prediction-project Public

    MLOps platform designed to predict, track, and monitor the price of Gold. It leverages a serverless architecture on AWS to automate the entire machine learning lifecycle

    Python 1

  3. flashcards flashcards Public

    Flashcard generation with help of LLMs orchestrated by Langchain

    Python