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Hello, folks! I am Nahom Demessie

About Me

Talented Full Stack Developer with a total of 2 years of hands-on experience developing and implementing enterprise level software and ML models. Streamline continuous integration and deployment by performing Unit tests, analysis, and CI/CD. Skilled in using technologies such as Java, SpringBoot, Angular, React, Node, Kubernetes, Kafka,Docker, JavaScript, Typescript, MySQL, and AWS.

  • 🔭  I’m currently persuing my Master's Degree in Computer Science at MIU in IOWA,USA
  • 💬  Ask me about Java, Spring Boot, Python, Angular, and AWS
  • 🎓  I have a Bachelor's Degree in Software Engineering from Addis Ababa University.
  • 🥅  2022 Goals: Contribute more to Open Source projects
  • ⚡   I love Dancing , swimming and football ⚽

Tech Stack

Technologies

Python  JavaScript  TypeScript  Java  Dart 

Frameworks/Libraries

NumPy  Pandas  scikit-learn  PyTorch  Flask  Streamlit  Node.js  Express.js  React  Angular 

Databases

SQLite  Mysql  PostgreSQL  MongoDB  Cloud Firestore 

Tools

AWS  Azure  Airflow  Docker  Circle%20CI 

Latest Blog Posts

Where to find me

nahomneg

Nahom Negussie's Projects

covid19_inference icon covid19_inference

Bayesian python toolbox for inference and forecast of the spread of the Coronavirus

ecommerce icon ecommerce

An Ecommerce application developed using microservices architecture

educational-data-log-analysis icon educational-data-log-analysis

Exploring the 10 Academy Moodle logs stored in the database together with many other relevant tables. By the end of the exploration, A Tableau dashboard that illustrates different aspects of students will be built.

rossmann-sales-prediction icon rossmann-sales-prediction

Rossmann is concerned with predicting their daily sales for up to six weeks in advance. This project builds an end-to-end product that delivers the predictions and serves it on web app.

telecom_analysis icon telecom_analysis

Prior to investing in a new company, a thorough analysis of the data behind the company. The main goal of this project is to analyze Telco's data to determine whether it is worth buying or selling.

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