My Portfolio

Skills,Talent,Passion,Projects,Publications

Some Things About Me

I've already had the chance to experience creating data visualizations, the ability to build and interpret regression and classification models, with machine learning, in Python. I also work on making predictive models using supervised machine learning techniques and have a strong foundation in mathematics and statistics.

I have worked on classification, regression, and data analysis/visualization projects. Along the way, I have acquired new skills in using Python library like NumPy, Pandas, Scikit Learn, PySpark and Keras. A person who always strives for excellence, I go to every length to ensure that every project I work on is seen to the end.

My skills include data analysis, visualization, and machine learning. I have developed a strong acumen for problem-solving, and I enjoy occasional challenges. Sometimes, I create personal projects.

You can take a look at some of my projects in the section below. I will link my work to their GitHub repositories, so feel free to download my code and play around with it. Most of my education has come from online platforms. I have downloaded e-books, audited courses on Pluralsite and Udemy.

Github

Projects & Publications

HR application


Human resources professionals use the software to store the information about staff.

Skills demonstrated:PYTHON, HTML, CSS.

Publication: GitHub

Blog Post
Code
Algoritmi




Skills demonstrated: PYTHON

Publication: Github

Blog Post
Code
The presence of CO (ppm)

The dataset is a chemical detection platform composed of 14 temperature-modulated metal oxide semiconductor (MOX) gas sensors. The sensors are exposed to dynamic mixtures of carbon monoxide (CO) and humid synthetic air in a gas chamber.
My goal is to create a model that will predict the presence of CO (ppm).

Skills demonstrated: Python

Publication: Github

Blog Post
Code
Recommender-systems


A recommendation system is an algorithm that uses data to suggest or recommend additional products to consumers

Skills demonstrated: Python,data analysis/visualization learning

Publication: Github

Blog Post
Code
Distinguish bees from wasps.


In this notebook, The challenge is primarily to distinguish bees from wasps.

Skills demonstrated: Python,data analysis/visualization,supervised machine learning,Convnets.

Publication: GitHub

Blog Post
Code
Industrial Lighting Products Web App


An app for industrial area of activities.

Skills demonstrated: Java, Spring framework, REST API.

Publication: Github

Blog Post
Code

Courses





  Decision models, risk and forcasting

  Machine-learning-in-practice

  Python 3

  Java-fundamentals-language