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πŸ‘¨β€πŸ’» About Me

Hello, world! I'm a tech enthusiast, musician, and lifelong learner with a knack for blending the logical with the creative. My journey through the realms of coding, music, and academia has been anything but ordinary. Let's dive into what makes me, well, me!

πŸŽ“ Academic Explorer

Armed with degrees in Sociology and Political Science, and a Master's in Communication and Education, I've always been fascinated by the stories and structures that shape our world. But why stop there? My quest for knowledge didn't pause at academia. Since 2011, I've been weaving narratives in mass media, telling stories that matter.

🎡 Musical Maestro

Before the codes and nodes, there were chords and notes. Bass guitar in hand, I was the frontman of Disbrainer, where I not only played the strings but also led the sing. Although the band's journey has ended, my passion for music plays on a loop.

🌍 Polyglot Programmer

Fluent in Spanish, English, and Russian, I find joy in expressing ideas in languagesβ€”both human and computer. My coding symphony began in late 2022, with Python as my first love for its versatility. I've since dabbled in PostgreSQL, JavaScript (just the basics!), C++ (also the basics!), HTML, CSS, and the rhythmic scripts of Bash, Zsh, and PowerShell.

πŸ” Tech Toolkit

I wield Python like a maestro conducts an orchestra, with libraries like Pandas, Scikit Learn, Seaborn, Matplotlib, PyTorch, and NLTK as my instruments. Each project is a new composition, a chance to harmonize data and algorithms into solutions.

πŸ’Ή Future Financier

At the intersection of code and currency, you'll find meβ€”dreaming up algorithms for algorithmic trading. Finance fascinates me; it's the rhythm I want to master next. Why coding, you ask? To unlock the secrets of markets and money, of course!

Languages & Tools

Python Python PostgreSQL PostgreSQL SQLite SQLite JavaScript JavaScript C++ C++ HTML HTML CSS CSS Bash Bash Zsh Zsh PowerShell PowerShell Pandas Pandas Scikit Learn Scikit Learn TensorFlow TensorFlow Matplotlib Matplotlib Numpy Numpy PyTorch PyTorch pytestpytest Django Django Flask Flask Docker Docker FastAPI FastAPI Selenium Selenium

So, there you have itβ€”a snippet of my saga. Whether it's dissecting data, composing melodies, or deciphering the dynamics of power and communication, I'm all in. Let's make the digital and the musical worlds collide, shall we?

  • πŸ‘― I’m looking to collaborate on projects at the intersection of technology and finance, particularly in algorithmic trading and financial analysis. I'm also keen on contributing to open-source tools that leverage Python for data science and machine learning. If you're working on making complex data more understandable and actionable, let's sync up!
  • πŸ€” I’m looking for help with deepening my understanding of advanced machine learning techniques and their applications in predictive financial modeling. I'm also curious about best practices for deploying scalable ML models in production environments. If you're adept in these areas or have resources to share, I'd greatly appreciate your insights!
  • πŸ’¬ Ask me about anything related to Python and its powerful libraries like Pandas, Scikit Learn, Matplotlib, and PyTorch. I'm also a musician at heart, so feel free to strike up a conversation about music theory, bass guitar, classical gitar, or the challenges of leading a band. And, if you're navigating the worlds of journalism or mass media, I'm here to share my decade-plus experience.
  • πŸ“§ Email: [email protected]
  • πŸ“’ Telegram: @Sxdisbr

Santiago Pueyo's Projects

auto_price_prediction icon auto_price_prediction

A company of used cars is developing an application to attract new customers. In it, you can quickly find out the market value of your car. Historical data is at our disposal: technical specifications, complete sets and prices of cars. We need to build a model to predict the cost.

data_bank_protection icon data_bank_protection

With this project we are going to protect the customer data of a insurance company. To achieve our goal we will create a method of data transformation so that it is difficult to recover personal information from them.

data_games_research icon data_games_research

The dataset shows historical data on games sales, user and expert ratings genres and platforms like Xbox or PlayStation.

delivery_robots_service icon delivery_robots_service

Given a list of weights representing individual robots and the weight limit for a transport platform, this function determines the minimum number of transport platforms required to move all the robots.

mobile_rate_analysis icon mobile_rate_analysis

We are going to analyze the behavior of customers who have contracted a plan for mobile

predicting_temperature_steel icon predicting_temperature_steel

### Description and purpose of the study In order to optimize production costs, a metallurgical factory decided to reduce electricity consumption at the steel processing stage. We have to build a model that predicts the temperature of steel.

recovery_gold icon recovery_gold

We are going to prepare a prototype of a machine learning model a company that develops solutions for the efficient operation of industrial enterprises.

research_of_sales_apartments icon research_of_sales_apartments

This research is based on the data from Yandex Real State service that shows the ads for sale apartments in San Petersburg for several years. The task is to determine the market value of the real state and set the parameters that will allow me to build an automated system to track anomalies and fraudulent activities.

research_on_borrowers icon research_on_borrowers

This research try to resolve a question: does the civil status and the number of children affect when returning a credit?

sentiment_analysis_crypto icon sentiment_analysis_crypto

This repository uses Selenium to scrap crypto headlines, and then evaluates the general sentiment with three categories Neutral, Positive and Negative with Textblob.

taxi_orders_forecasting icon taxi_orders_forecasting

A company has collected historical data on taxi orders at airports. To attract more drivers during peak load, we need to predict the number of taxi orders for the next hour. We build a model for this kind of prediction.

toxic_comments_model icon toxic_comments_model

A online store launches a new service. Now users can edit and add product descriptions, as in wiki communities. That is, clients offer their edits and comment on the changes of others. The store needs a tool that will search for toxic comments and send them for moderation.

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