Python Developer

The candidate is a developer who has experience in data transformation, modeling, forecasting, and visualization techniques. Also creates full-stack web applications.

He holds a Master's degree in Cybernetics and Sensors in Chemistry from the University of Chemical Technology in Prague, where he studied systems control theory, neural networks, advanced systems control methods, electronics, distributed programming in Java, sensors and sensor systems. He has been working with Python since 2020.

In terms of commercial experience, he worked as a Python developer and his responsibilities included maintaining and updating full-stack applications, implementing data transformations and automating pipelines. He has used technologies such as React, InstantAPI, PostgreSQL/ArangoDB, Google Cloud, Microsoft Azure, Apache Beam, Google Dataflow, and Bash.

As a data scientist, he developed a web application for budget optimization and data visualization. His work has included the use of SQL and Python frameworks such as Flask, scikit-learn, and Dash. He also implemented statistical and neural network methods to evaluate employee performance, becoming familiar with libraries such as scikit-learn, TensorFlow, and Keras.He also explored Streamlit as a tool for creating user interfaces.

During his time as a junior data scientist, he focused on creating data pipelines using Azure Storage and Azure Functions for data preprocessing and file/database organization. He developed data visualization applications using Plotly Dash and worked on various tasks involving data manipulation and visual presentation using SQL and Python.

He is fluent in both English and German and has no problem working in an international environment. He is used to working in an agile environment and has experience with both Kanban and Scrum.

Python Developer

(August 2022 - present)

• Fullstack React + InstantAPI + PostgreSQL/ArangoDB, Google Cloud, Microsoft Azure, Apache Beam, Google Dataflow, Bash.
• Focus on maintaining and upgrading an existing fullstack app.
• Design and implementation of data transformations across platforms.
• Data-storing schemes and pipeline automation.

Data Scientist

(October 2021 - March 2022)

• Created a web application for budget optimization (predictive analysis) and data visualization.
• Utilized SQL and Python frameworks such as Flask, scikit-learn, and Dash.
• Developed employee performance evaluation methods using statistical and neural-network techniques.
• Familiarity with Streamlit for user interface creation.

Junior Data Scientist

(June 2020 - October 2021)

• Created data pipelines using Azure Storage and Azure Functions in Python.
• Emphasized data preprocessing and file/database organization.
• Developed data visualization apps using Plotly Dash.
• Worked on insight extraction tasks through data manipulation and visual presentation using SQL and Python.

Technical Assistant

(October 2018 - June 2020)

• Created a mathematical fluid flow model system for predicting behavior of fluid systems.
• Utilized complex mathematical numerical techniques and algorithms to solve specific differential equations.

Technical Assistant

(September 2016 - September 2017)

• Conducted research on the synthesis of iron-oxide nanoparticles and optimization techniques.
• Gained experience in single-variable testing and adjustment