micky373 Goto Github PK

followers: 160.0 following: 129.0 repos: 69.0 gists: 0.0

Name: Michael Tamirie

Type: User

Company: Upwork

Bio: Top Rated Plus Upwork Freelancer | Machine Learning | Python developer | Data Scientist

Location: Ethiopia, Addis Ababa

Blog: https://www.upwork.com/freelancers/~01ea6487ebe2860d42

Hello, I'm Michael Tamirie 😉

get_to_know_micky = {
    "full_name": "Michael Tamirie Andualem",
    "origin": "Ethiopia 🇪🇹",
    "marital_status": "Single",
    "hobbies": ["Coding", "Reading", "Watching football", "Playing football games", "Solving puzzles"],
    "tech_languages": ["Python", "CSS", "JavaScript", "HTML", "SQL"],
    "age": 26,
    "education_level": {
        "bachelors_degree": "Electromechanical Engineering",
        "is_completed": True
    },
    "social_medias": ["LinkedIn", "Telegram", "WhatsApp", "Twitter"],
    "coding_environment": {
        "ide": "Visual Studio Code",
        "preferred_tools": ["Git", "Docker"],
        "familiar_libraries": ["NumPy", "Pandas"]
    },
    "looking_for_new_opportunities": True    
}

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Michael Tamirie's Projects

a-b_test_smartad_user_analysis

The repo is all about A/B testing by using two groups the exposed and control group. The exposed group were given the smart ad about brand LUX where as the control groups were given some dummy ad about the brand LUX. Classical and Statistical A/B testing has been used to test. After all the tests our aim is to increase the efficiency of our BIO (Brand Impact Optimization)

a2sv_div2

abtest-mlops

ad-campaign

agritech_lidar_etl

In this project I took data using API provided by USGS_3DEP ( United States Geological Survey 3D Elevation Program). AgriTech is a company working on maize farms and this project is done for the study of maize farms for water flow across different geographical areas. Extraction, Visualization and transformation of data were achieved in this project.

ai_projects

I've completed a number of deep learning and machine learning projects in this repository. In the future, I'll be adding other projects as well. The majority of the data was gathered from Kaggle, TensorFlow datasets, and other places that offer free data. In order to create my models, I used the Google Colab environment.

alx-low_level_programming

alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-system_engineering-devops

alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

awesome_books_es6

This is an Awesome books project using the best of ES6 practices

bookstore

This is a bookstore website published with react and redux. It has display list of books, add books and also remove books functionalities.

capstone_project_html_css_js

This is the capstone project I did. In this project I have implement the best practices of HTML, CSS and JavaScript

causal_inference

This project performs a causal inferences and drive a machine learning model for a breast cancer Wisconsin dataset.

cd4ml-scenarios

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

data-science-interview-questions-answers

elt_traffic_data

In this project we will take the data from pNEUMA and do the transforming after loading it. We will be using Apache Airflow for scheduling and DBT for data transformation.

embedding_images_and_videos

This was the project that I have done in my Microverse trial period. I have implemented best practices of HTML and CSS

end_to_end_football_players_image_classification

In this repo I used a simple machine learning model to classify an image among my best five players. Lionel Messi, Cristiano Ronaldo, Ronaldinho, Patrick Vieira and Thierry Henry. I have created a simple UI to drag and drop images of players and used back end implementation for player name prediction.

end_to_end_home_price_prediction_ml_project

In this project I have tried to do some EDA on the home price dataset and run different machine learning models to check which model gives the best solution with a good parameter. After getting the best model and saving it then I used Flask for deploying the model.

end_to_end_sentiment_analysis

In this project I used textblob library in Python and tried to do some analysis on the text provided. I summerized the text, find out the sentiment and also point out the subjectivity of the text. I implemented a simple UI using HTML,CSS,JavaScript and also Flask as my API handling back end tool.