Petros Malamas

Welcome to my Portfolio

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β€œData science is a combination of three things: quantitative analysis (for the rigor required to understand your data), programming (to process your data and act on your insights), and narrative (to help people comprehend what the data means).” β€” Darshan Somashekar, Co-founder, at Unwind media

About Me

Hi! I'm Petros Malamas, a passionate Data Scientist based in Athens. I have hands-on experience working on various data science projects and a strong interest in AI, machine learning, deep learning, and data analysis. Here are some key points about me:

  • 🌍 I'm based in Athens
  • βœ‰οΈ You can contact me at petrosmalamas@hotmail.com
  • 🧠 Ξ™ have finished Data Science Bootcamp at Big Blue Data Academy
  • 🏫 I'm a graduate of the school of Rural, Surveying and Geoinformatics Engineering at National Technical University of Athens
  • 🀝 I'm open to collaborating on interesting projects
  • πŸ’» Proficient in Python,SQL,TensorFlow,MongoDB,Git,Microsoft Office
  • πŸ“š Enthusiast in traveling, reading, cinema, and music

Certificates:

Tools:

Python SQL Git MongoDB Tensorflow Microsoft Office Power Bi

My Projects

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San Francisco Salaries

This project employs SQL to analyze San Francisco city employee salaries from 2011 to 2014. It aims to uncover trends in compensation distribution, including base pay, overtime, and benefits across various employee groups. Additionally, the analysis seeks to identify any evidence of gender-based pay discrimination within the dataset. Ultimately, this exploration will provide insights into budget allocation and workforce dynamics within the city government.

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Climate Change

In this project, I use data from ClimateData API and various machine learning models to predict the temperature change over the next decade. The models are trained on historical climate data, including temperature, precipitation, and CO2 levels, to forecast future climate trends. The project aims to provide insights into the potential impact of climate change on our environment and help in planning mitigation strategies.

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Airplane Passenger Satisfaction

A Airline Passenger Satisfaction - Bootcamp In collaboration with: Marios Almpanopoulos, Petros Batakis. This project includes the creation of a supervised machine learning algorithm and a presentation of its application, in order to study the levels of airline passenger satisfaction. It was performed during the Big Blue Data Science Bootcamp (2023).

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Pneumonia Classification

This project aims to develop a deep learning model for the detection of pneumonia from chest X-ray images. Utilizing the dataset provided by Kaggle, the model classifies X-ray images into two categories: pneumonia and normal (healthy). The goal is to aid in the early and accurate diagnosis of pneumonia, which is crucial for effective treatment and patient care.

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