Nareg-Niko Boyagian

I'm a

About

Business Information Systems

  • Birthday: 26th of August 2000
  • Phone: Upon request
  • E-Mail: nareg.niko.boyagian@gmail.com
  • City: Bielefeld, Germany
  • Age: 23
  • Degree: B.Sc. Business Information Systems
  • Languages: German, English, Armenian, Latin
  • Website: penpro.online

Resume

You are welcome to request a copy of my CV if you're interested.

Skill Portfolio

The following highlights my current skill set, which I've developed over the years:

  • All
  • Programming Languages
  • Frameworks
  • Tools
  • Database Management
Bootstrap-Logo

Bootstrap

Framework
CSS-Logo

CSS

Programming Language
Docusaurus-Logo

Docusaurus

Framework
Git-Logo

Git

Tool
HTML-Logo

HTML

Programming Language
Java-Logo

Java

Programming Language
MongoDB-Logo

MongoDB

Database Management
mySQL-Logo

mySQL

Database Management
PostgreSQL-Logo

PostgreSQL

Database Management
postman-Logo

Postman

Tool
PHP-Logo

PHP

Programming Language
Python-Logo

Python

Programming Language
React-Logo

React

Programming Language
VBA-Logo

Visual Basic for Applications

Programming Language

Certificates

The certificates acquired are listed below:

Introduction to Web Development

University of California, Davis

Certificate-ID: MHB8GJAREV6F


Python for Data Science AI & Development

IBM

Certificate-ID: GE8P6Z7T829M

Grundlagen des Onlinemarketings

Google

Certificate-ID: XLN27VZ9B

GitHub Projects

For more information visit my GitHub-Profile

Web-Server monitoring & logging

View Project

This project presents a possible application which is able to test the availability of a URL. This is achieved by querying the user for a valid HTML URL which is then checked every 30 seceonds if the URL is still available. The result of the check will be written to a local log file. A user can stop the program by presseing ANY key available on the keyboard.

LinkedIn Company Follower Scraper

View Project

This script scrapes the follower list and their profile information of ANY company profile, if admin rights of the company are available, and saves the data into an excel file. Furthermore, it provides the possibility to specify any number of keywords which are used to compare to the follower's information and highlight matching cells. This project was build for research and educational purposes ONLY. Use with caution and at your own risk❗

Instagram Follower Scraper

View Project

This script scrapes the follower list of ANY Instagram profile and saves the scraped data into an excel file. The retreived information can be used for further processing. This project was build for research and educational purposes ONLY. Use with caution and at your own risk❗

Instagram Sentiment Analysis

View Project

This project provides a set of functions for scraping Instagram post's comments, processing them, and performing sentiment analysis using a pre-trained model. The results are stored in a database and visualized using matplotlib. This project was build for research and educational purposes ONLY. Use with caution and at your own risk❗

Data Engineering - Batch Pipeline

View Project

The NYC Taxi Data Engineering project is a batch pipeline designed to ingest, process, and visualize NYC Taxi Trip data. The utilization of various microservices, including PostgreSQL, Apache Spark, Apache Airflow, and Apache Superset, all of which are containerized using docker, ensures scalability, security, maintainability, and monitoring.

MRI Brain Tumor Multi-Classification

View Project

This web application is designed to classify brain tumor images in MRI scans. It utilizes a machine learning model, created and trained in google colab, to predict whether a given image contains a glioma tumor, meningioma tumor, pituitary tumor, or no tumor. Furthermore, it hightlights the tumor by displaying a red border around the identified tumor.

Regression Analysis and Visualization

View Project

The purpose of this project is to analyze and visualize data. Its objectives are to process different datasets, determine which training and ideal data sets fit together the best, map test data points to the best fit functions, and visualize the results. The project primarily utilizes Python for interactive visualization and data processing, including SQLAlchemy, Pandas, Numpy, and the Bokeh library.

Contact

Do not hesitate to contact me with any inquiries, requests for assistance, orders, exchanges of ideas, project proposals, or suggestions for improvements.

Location:

Bielefeld, Germany

Call:

Upon request

GitHub:

NaBo-00

LinkedIn:

Nareg-Niko Boyagian