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Hello there, 👊🏿👊🏿

I'm Bebeto Nyamwamu

Glad we met albeit virtually 😁

I am Fullstack ML/Data Engineer 🧑🏿‍💻 experienced and specialising in building and deploying ML apps. I am agile in using the Python AI & Data Science library ecosystem for MLOps/DataOps.

You can also check me out on Linkedin LinkedIn

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⚡ Check out My Stack and Tools 🏋🏿🏋🏿

P.S Learning from the best Learning and picking up fast is very vital

My GitHub Stats 📊


About Me

  • 🔭 I’m currently working on credit scoring, survival analysis and computer vision

  • 🌱 I’m currently learning MLOps focusing on CI/CD

  • 👯 I’m looking to collaborate on Open source projects.

👉🏻👉🏻📧 Hit me up at Email

Bebeto Nyamwamu's Projects

10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

coding-problems icon coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

finsurvival icon finsurvival

Credit Survival Analysis: Full stack, credit risk application. Using FastAPI, PostgreSQL as database, Docker & Kubernetes for orchestration, RabbitMQ for messaging, PySurvival, MLFlow and more.

icea-credit-risk icon icea-credit-risk

Credit Risk Analysis & Modelling: Analysis and Modelling Instance using Sklearn, Imblearn, XGBoost

image-similarity-measures icon image-similarity-measures

:chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

kundi icon kundi

Self Referencing Entity Experiment

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

mentox-app icon mentox-app

Mental Health App implementing sentimental analysis with promising application in psychiatry and psychology

mock-data icon mock-data

Creating Mock Data with Numpy, Pandas and Datetime

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