Hi, I'm Yersel

In this project, I developed a predictive model to assess the likelihood of developing hypertension by analyzing essential health indicators including gender, age, smoking habits, medication for high blood pressure (BPMeds), presence of diabetes, total cholesterol levels, heart rate, and more. I employed the Random Forest Classifier from Scikit-learn to harness its robust capabilities in handling diverse datasets and providing insightful predictions. This model aims to facilitate early identification and proactive management of hypertension risks.

• Python

• Pandas

• Jupyter

• Scikitlearn

In this project, I developed a predictive model to estimate the price of used cars, incorporating critical features such as brand, model, year, kilometers driven, fuel type, transmission, owner type, and engine specifications. I employed a variety of machine learning models to evaluate their performance, allowing me to select the most effective model for accurate price predictions.

• Python

• Pandas

• Jupyter

• Scikitlearn

In this project, I developed a classification model capable of distinguishing between 'Fractured' and 'Not Fractured' bone X-rays. Utilizing the power of Convolutional Neural Networks, I leveraged the VGG16 model as a pretrained base. This approach enhances the model's ability to accurately recognize fracture-related features within the X-ray images, providing a helpful tool for medical diagnostics.

• Python

• Pandas

• Jupyter

• Scikitlearn

• Tensorflow

In this project, I conducted a comprehensive geospatial analysis of car collisions using various types of visualizations, including heatmaps and Folium maps. The primary objective was to pinpoint regions with a high frequency of collisions that lack proximate hospital facilities. Based on this analysis, I identified and proposed two strategic locations for constructing new hospitals, which could significantly enhance emergency medical response capabilities in these high-risk areas.

• Python

• GeoPandas

• Jupyter

A website for all fans visiting tourist places. An admin can create or delete tours and a client can book tours by selecting the package and the date they want the tour.

• Ruby

• Rails

• React

• Redux

• Postgresql

NFT Marketplace is a decentralized shop where users can: list, buy, cancel, update listing of NFT's. It contains two pages: The Home Page to show the listing and the Sell Page where owners can list their NFT's.

• Solidity

• NextJs

• Javascript

• Tailwind

The Budget App is a mobile web application where you can manage your budget: you have a list of transactions associated with a category, so that you can see how much money you spent and on what.

• Ruby

• Rails

• Postgresql

• Tailwind

The Quote Editor is a responsive SPA application that helps users to make fast quotation. It allows to name a quote, and add items tracking the date it was added to the quotation. The implementation of SPA was done using Hotwire: Turbo Drive, Turbo Frame, Turbo Stream and Stimulus.

• Ruby

• Rails

• Postgresql

• Sass

The Recipe app keeps track of all your recipes, ingredients, and inventory. It allows to save ingredients, keep track of what the user has, create recipes, and generate a shopping list based on what the user has and what current user is missing from a recipe

• Ruby

• Rails

• Postgresql

A website that work with real live data from the SpaceX API. The users can book rockets and join selected space missions.

• React

• Redux

• Javascript