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Dostupný

Lukáš Németh

Data analyst

Hodinovka: 1125

Úroveň: Mid

Registrovaný: 03.04.2023

Developeri
Content MarketingData AnalystDatabaseEnglishGoogle AnalyticsLeadership/ManagementMachine LearningMarket Research/AnalysisMicrosoft Excel...
Content MarketingData AnalystDatabaseEnglishGoogle AnalyticsLeadership/ManagementMachine LearningMarket Research/AnalysisMicrosoft ExcelMicrosoft Power BIPythonSEOSocial MediaWordPress

Business and analysing are my passion from young age. I have been trading cards from the age of 8. Trading online commodities and currencies from 14 years old. Starting multiple small businesses when I was 16 (iliftforjesus.com, klikaj.club, defender.sk), I gained experience in marketing, analyzing, sales and negotiations.

I studied 8 years in Bilingual gymnasium. Afterwards I attended Technical University in Kosice and gained bachelors degree in computer science which opened the doors to new possibilities like getting experience working with big data /machine learning and hands on experience with 15 different programming languages. During and after school I worked on personal data science projects using python, sql, excel and visualization tools. I also worked with clients that needed data analysis or data engineer solutions as a freelancer.

Vzdelanie

Technical University of Košice
Bachelor's degree, Computer Science
Sep 2019 - Sep 2022
Skills: Data Analytics · Machine Learning · Pandas (Software) · NumPy · Data Science · Research · Analytical Skills · Design · Python (Programming Language) · Dotnet · C (Programming Language) · Advanced Business Application Programming (ABAP)

Bilingual gymnasium - EGJAK
Sep 2011 - Jun 2019
Skills: English

Portfólio

Prediction of the winning Team in professional esports matches
OCT 2021 - SEP 2022
My focus in this project was on the use of machine learning in
predicting the winner of a professional esports match. In the first
chapter we analyze the potential of three different online games. In
the second chapter we analyze different machine learning
algorithms and other functions. In the third chapter we investigate
other related works. In the fourth chapter we focus on getting data
from databases and adjusting the data to readable structures. We
then transform and classify this data into different classes. In the
fifth chapter we look at the implementation of supervised learning
on our data and in the last chapter we evaluate our results and
newly gained experience.
Link - in Slovak language https://opac.crzp.sk/?fn=detailBiblioForm&sid=83298E4B591633891B85DFB92829
Skills used :
Python, Java, Machine learning, Data visualization, structured
thinking
Predicting students dropout rate
JAN 2023
Predicting the dropout rate of college students based on
academic succes and socioeconomic predictors.

Ocenenia, certifikáty

Data Visualization for Data Analysis and Analytics
LinkedIn
Issued Mar 2023Issued Mar 2023
Skills: Data VisualizationSkills: Data Visualization

Python for Data Science Tips, Tricks, and Techniques
LinkedIn
Issued Mar 2023
Skills: Python (Programming Language)Skills: Python (Programming Language)

Google Data Analytics Certificate
Coursera
Issued Jan 2023
Skills: Data Analytics · Data Visualization · Data Cleaning · Data-driven Decision Making · Tableau · R (Programming Language) · Presentation SkillsSkills: Data Analytics · Data Visualization · Data Cleaning · Data-driven Decision Making · Tableau · R (Programming Language) · Presentation Skills

International Computer Drivers License - Level One (ICDL,)
ECDL Czech Republic
Issued Jan 2020
Skills: Microsoft Office · Microsoft Word · Microsoft Excel · Microsoft PowerPoint