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πŸ—οΈ Currently debugging my life… and my code! πŸ’»
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πŸ—οΈ Currently debugging my life… and my code! πŸ’»
  • Nairobi, Kenya

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Chrisolande/README.md

Hi πŸ‘‹, I'm Chris Olande

Data Scientist | ML Engineer in the Making | NLP Enthusiast

Typing SVG

chrisolande olande73 GitHub followers


πŸš€ About Me

"Turning data into insights, algorithms into solutions! πŸš€ Building intelligent systems that solve real-world problems through code and creativity."

  • πŸŽ“ Statistics and Programming student at Kenyatta University
  • πŸ”­ On a mission to become a top-tier Machine Learning and NLP Engineer
  • 🌱 Currently diving deep into LLMs, Stable Diffusion, and Generative AI
  • 🧠 Strong analytical foundation meets practical implementation
  • πŸ’¬ Let's discuss Machine Learning, Deep Learning, NLP, and Applied Statistics
  • πŸ“« Connect with me: olandechris@gmail.com
  • 🌍 Based in Nairobi, Kenya πŸ‡°πŸ‡ͺ

🎯 Current Focus Areas

πŸ€– Machine Learning & AI

  • Deep Learning architectures
  • Natural Language Processing
  • Computer Vision applications
  • Generative AI and LLMs
  • MLOps and model deployment

πŸ“Š Data Science & Analytics

  • Statistical Modeling
  • Predictive Analytics
  • Data Visualization
  • Experimental Design
  • A/B Testing methodologies

πŸ”₯ Featured Projects

Project Description Tech Stack Status
πŸ€– NLP Sentiment Analyzer Real-time sentiment analysis with transformer models Python, PyTorch, Streamlit Status
πŸ“Š Statistical ML Pipeline End-to-end ML pipeline with statistical validation Python, scikit-learn, Docker Status
πŸ₯ Medical Graph RAG System End-to-end graph-based retrieval augmented generation for medical data Python, LangChain, Transformers, HF Status

πŸ› οΈ Tech Arsenal

Programming Languages

Programming Languages

Machine Learning & AI

ML Frameworks scikit-learn Pandas NumPy tidymodels

Data Visualization & Analysis

Matplotlib Seaborn Plotly ggplot2 tidyverse

Development & Deployment

DevOps Tools

Frameworks & Libraries

Streamlit FastAPI LangChain Gradio


πŸ“Š GitHub Analytics

GitHub Stats GitHub Streak
Top Languages

πŸ“ˆ Contribution Activity

Contribution Graph

🐍 Watch My Contributions Get Devoured!

Snake eating contributions

πŸ† GitHub Trophies

GitHub Trophies

πŸ“ˆ Weekly Development Breakdown

Python       70 hrs 32 mins  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–’β–‘   93.91 %
YAML         2 hrs 8 mins    β–“β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   02.84 %
Git Config   44 mins         β–’β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.99 %
Markdown     40 mins         β–’β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.91 %
INI          23 mins         β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.53 %

πŸŽ“ Learning Journey

πŸ“š Currently Learning 🎯 Next Goals πŸ”„ Exploring
Advanced Transformers MLOps at Scale Quantum ML
Diffusion Models Production ML Systems Edge AI
Multi-modal AI Distributed Training AutoML

🌐 Let's Connect!

Twitter Kaggle Email LinkedIn


πŸ’‘ "In data we trust, in code we build, in AI we innovate!" πŸ’‘

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  1. CancerAnalysis CancerAnalysis Public

    In depth statistical analysis for the cancer dataset

    Jupyter Notebook 2

  2. Loan-Default Loan-Default Public

    R project focused on loan default prediction. Includes data preprocessing, exploratory analysis, feature engineering, and modeling using various classification techniques.

    Jupyter Notebook 2

  3. AgenticRAG AgenticRAG Public

    Agentic RAG is a modular, agent-driven Retrieval-Augmented Generation system built with LangChain, LangGraph, and OpenRouter. It combines planning, reasoning, and memory with external tools and API…

    Python 1

  4. RAG RAG Public

    Collection of RAG techniques I've implemented so far. A part of an ongoing marathon to explore and document practical RAG strategies in NLP.

    Jupyter Notebook

  5. Travel-Planner Travel-Planner Public

    An AI-powered travel planner built for Jupyter. Leveraging LLMs, LangChain, and LangGraph, it generates fully customized trips based on user preferencesβ€”recommending destinations, estimating budget…

    Jupyter Notebook

  6. Medical-Graph-RAG Medical-Graph-RAG Public

    A comprehensive RAG pipeline combining knowledge graphs, vector search, and LLM generation for medical document analysis. Features semantic caching, advanced reranking, and modular architecture for…

    Python