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Davidelvis/README.md

Hi there 👋

You've stumbled upon David Elvis's GitHub profile!

I am a Data | Machine Learning Engineer with a strong mathematical background and experience in software development, creating data pipelines, feeding into deep-learning and machine-learning models, and deploying and maintaining solutions in production. I enjoy using ML, Computer Vision, and NLP models to create algorithms that utilize data from an ETL pipeline to provide valuable insights.

Education

  • 📖 Studied at Jomo Kenyatta University for my Bachelors in Applied Mathematics

  • 🌱 Completed / Current Courses:

    • Deep learning mainly Reinforcement Learning MIT Course
    • Software Engineering
    • Knowledge Based Artifical Intelligence
    • Machine Learning(NLP)
    • Data science
  • I enjoy writing code, building models, and building pipelines that facilate CI / CD.

  • I mainly use python for my programming however I am comfortable using Go and Javascript / Typescript

  • I have experience using cloud services, I have used both AWS and Google Cloud for model building (EC2 and Compute Engine) data storage (S3, Amazon RDS, Big Query, Firestore) and other services from both

  • I enjoy talking Tech, software engineering and Machine learning

Tech Stack

Technologies

Python  Java  C 

Frameworks/Libraries

NumPy  Pandas  Spark  scikit-learn  TensorFlow  Keras  Flask  Streamlit  Pytest 

Databases

SQLite  Mysql  Prometheus DB  PostgreSQL  MongoDB  Cloud Firestore 

Tools

MLflow  Kubeflow  Spark  Prefect  Airflow  DVC  Docker  github actions  Travis%20CI 

David's github stats

Location

  • 🏔 Living in Nairobi, Kenya

Development

  • 🧠 Deep research on Reinforcement Learning in different domains to help me in building framework for optimization and fast delivery of projects in Kunumi.

  • 🧠 Developing libraries and contributing to projects that help in Knowledge Based AI development / etc

  • 🧠 Building a project that will enhance my skills on Docker and kurbenetes, CI/CD and Testing and MLOps in general

  • 🧠 Deep diving Into Generative Adversarial Networks(GANS), and building GAN models for anomaly detection in Network Intrusion

Latest Blog Posts

Where to find me

Davidelvis

Pinned Loading

  1. BankClientTermDeposit_Prediction BankClientTermDeposit_Prediction Public

    Bank Institution Term Deposit Predictive Model

    Jupyter Notebook 3 3

  2. Food-Quantity-Project Food-Quantity-Project Public

    Forked from Team-Kaizen-10Acad/Food-Quantity-Project

    Jupyter Notebook

  3. ML_project ML_project Public

    Simulation of creativity in Machines

    Python 1

  4. Fake_Reviews_Detector_ML Fake_Reviews_Detector_ML Public

    Fake Review Detection Of E-Commerce Electronic Products Using Machine Learning Techniques

    Jupyter Notebook 3

  5. Real-time-data-ingestion-to-Databricks-Delta-Lake-with-Redpanda-Kafka-Connect- Real-time-data-ingestion-to-Databricks-Delta-Lake-with-Redpanda-Kafka-Connect- Public

    Real-time data ingestion

    Shell

  6. ML_Assignment ML_Assignment Public

    PREDICTING IMMUNIZATION DROP-OUTS

    HTML