anfang von lebenslauf und motivationsschreiben

This commit is contained in:
Erik Grobecker 2025-01-10 14:34:42 +01:00
parent 390f83f76f
commit 1b86fe8138
Signed by: Erik
GPG key ID: 80D020D0ABBD3FB2
33 changed files with 743 additions and 0 deletions

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# Firmen
- [it.nrw](https://www.it.nrw/duale-studierende-fuer-die-studienrichtung-verwaltungsinformatik-bsc-mwd-mit-verbeamtung)
- LBV
-

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// Imports
#import "@preview/brilliant-cv:2.0.3": cv
#let metadata = toml("./metadata.toml")
#let importModules(modules, lang: metadata.language) = {
for module in modules {
include {
"modules_" + lang + "/" + module + ".typ"
}
}
}
#show: cv.with(
metadata,
profilePhoto: image("./src/avatar.png"),
)
#importModules((
"education",
// "professional",
// "professional",
// "projects",
// "certificates",
// "publications",
"skills",
))

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// Imports
#import "@preview/brilliant-cv:2.0.3": letter
#let metadata = toml("./metadata.toml")
#show: letter.with(
metadata,
myAddress: "Your Address Here",
recipientName: "Company Name Here",
recipientAddress: "Company Address Here",
date: datetime.today().display(),
subject: "Subject: Hey!",
signature: image("src/signature.png"),
)
Dear Hiring Manager,
I am excited to submit my application for the Senior Data Analyst position at ABC Company. With over 5 years of experience in data analysis and a demonstrated track record of success, I am confident in my ability to make a valuable contribution to your team.
In my current role as a Data Analyst at XYZ Company, I have gained extensive experience in data mining, quantitative analysis, and data visualization. Through my work, I have developed a deep understanding of statistical concepts and have become adept at using tools such as SQL, Python, and R to extract insights from complex datasets. I have also gained valuable experience in presenting complex data in a visually appealing and easily accessible manner to stakeholders across all levels of an organization.
I believe that my experience in data analysis makes me an ideal candidate for the Senior Data Analyst position at ABC Company. I am particularly excited about the opportunity to apply my skills to support your organization's mission and drive impactful insights. Your focus on driving innovative solutions to complex problems aligns closely with my own passion for using data analysis to drive positive change in organizations.
In my current role, I have been responsible for leading data projects from initiation to completion. I work closely with cross-functional teams to identify business problems and use data to develop solutions that drive business outcomes. I have a proven track record of delivering high-quality work on time and within budget.
Furthermore, I have extensive experience in developing and implementing data-driven solutions that improve business operations. For example, I have implemented predictive models that have improved sales forecasting accuracy by 10%, resulting in significant cost savings. I have also developed dashboards that provide real-time insights into business performance, enabling stakeholders to make more informed decisions.
As a highly motivated and detail-oriented individual, I am confident that I would thrive in the fast-paced and dynamic environment at ABC Company. I am excited about the opportunity to work with a talented team of professionals and to continue developing my skills in data analysis.
Thank you for considering my application. I look forward to the opportunity to discuss my qualifications further.
Sincerely,

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#:schema https://raw.githubusercontent.com/mintyfrankie/brilliant-CV/main/metadata.toml.schema.json
# Set the output language
# INFO: value must matches folder suffix; i.e "zh" -> "./modules_zh"
language = "de"
[layout]
# Optional values: skyblue, red, nephritis, concrete, darknight
# You can also use a custom color by hex code i.e. "#1E90FF"
awesome_color = "skyblue"
# Skips are for controlling the spacing between sections and entries
before_section_skip = "1pt"
before_entry_skip = "1pt"
before_entry_description_skip = "1pt"
[layout.fonts]
regular_fonts = ["Source Sans Pro", "Source Sans 3"]
header_font = "Roboto"
[layout.header]
# Optional values: left, center, right
header_align = "left"
# Decide if you want to display profile photo or not
display_profile_photo = true
[layout.entry]
# Decide if you want to put your company in bold or your position in bold
display_entry_society_first = true
# Decide if you want to display organisation logo or not
display_logo = true
[inject]
# Decide if you want to inject AI prompt or not
inject_ai_prompt = false
# Decide if you want to inject keywords or not
inject_keywords = true
injected_keywords_list = ["Data Analyst", "GCP", "Python", "SQL", "Tableau"]
[personal]
first_name = "Erik"
last_name = "Grobecker"
# The order of this section will affect how the entries are displayed
# The custom value is for any additional information you want to add, name it as custom-1, custom-2, etc.
[personal.info]
# github = "mintyfrankie"
# phone = "+33 6 12 34 56 78"
email = "erik@grobecker.me"
# linkedin = "johndoe"
# gitlab = "mintyfrankie"
# homepage = "jd.me.org"
# orcid = "0000-0000-0000-0000"
# researchgate = "John-Doe"
# extraInfo = "I am a cool kid"
# [personal.info.custom-1]
# # image = "" # Example: image("./path/to/image.png")
# awesomeIcon = "graduation-cap" # Example: "graduation-cap" see https://typst.app/universe/package/fontawesome/
# text = "PhD"
# link = "https://www.example.com"
# add a new section if you want to include the language of your choice
# i.e. [[lang.ru]]
# each section must contains the following fields
[lang.en]
header_quote = "Experienced Data Analyst looking for a full time job starting from now"
cv_footer = "Curriculum vitae"
letter_footer = "Cover letter"
[lang.de]
header_quote = ""
cv_footer = ""
letter_footer = ""

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry, hBar
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("Bildung")
#cvEntry(
title: [Realschulabschluss], //TODO: Titel herausfinden
date: [2018-2022],
society: [Carl-Benz-Realschule],
location: [Düsseldorf],
description: [],
)
#cvEntry(
title: [Fachhochschulreife],
date: [2022-2025],
society: [Dieter-Forte-Gesamtschule],
location: [Düsseldorf],
description: [],
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvSkill, hBar
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#cvSection("Kenntnisse")
#cvSkill(
type: [Sprachen],
info: [Deutsch (flüssig) #hBar() Englisch (fast flüssig)],
)
#cvSkill(
type: [generelle IT],
info: [Container (Docker, Kubernetes) #hBar() Linux Systeme (Debian, NixOS, Archlinux) #hBar() POSIX-Shell #hBar() allgemeine Cybersicherheit],
)
#cvSkill(
type: [Programmieren],
info: [allgemeine Begrifflichkeiten & Konzepte (Server-Client Modell, primitive Datentypen etc.) #hBar() Python #hBar() Rust #hBar() Nix (siehe NixOS)],
)
// #cvSkill(
// type: [Personal Interests],
// info: [Swimming #hBar() Cooking #hBar() Reading],
// )

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvHonor
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvHonor = cvHonor.with(metadata: metadata)
#cvSection("Certificates")
#cvHonor(
date: [2022],
title: [AWS Certified Security],
issuer: [Amazon Web Services (AWS)],
)
#cvHonor(
date: [2017],
title: [Applied Data Science with Python],
issuer: [Coursera],
)
#cvHonor(
date: [],
title: [SQL Fundamentals Track],
issuer: [Datacamp],
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry, hBar
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("Education")
#cvEntry(
title: [Master of Data Science],
society: [University of California, Los Angeles],
date: [2018 - 2020],
location: [USA],
logo: image("../src/logos/ucla.png"),
description: list(
[Thesis: Predicting Customer Churn in Telecommunications Industry using Machine Learning Algorithms and Network Analysis],
[Course: Big Data Systems and Technologies #hBar() Data Mining and Exploration #hBar() Natural Language Processing],
),
)
#cvEntry(
title: [Bachelors of Science in Computer Science],
society: [University of California, Los Angeles],
date: [2018 - 2020],
location: [USA],
logo: image("../src/logos/ucla.png"),
description: list(
[Thesis: Exploring the Use of Machine Learning Algorithms for Predicting Stock Prices: A Comparative Study of Regression and Time-Series Models],
[Course: Database Systems #hBar() Computer Networks #hBar() Software Engineering #hBar() Artificial Intelligence],
),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("Professional Experience")
#cvEntry(
title: [Director of Data Science],
society: [XYZ Corporation],
logo: image("../src/logos/xyz_corp.png"),
date: [2020 - Present],
location: [San Francisco, CA],
description: list(
[Lead a team of data scientists and analysts to develop and implement data-driven strategies, develop predictive models and algorithms to support decision-making across the organization],
[Collaborate with executive leadership to identify business opportunities and drive growth, implement best practices for data governance, quality, and security],
),
tags: ("Tags Example here", "Dataiku", "Snowflake", "SparkSQL"),
)
#cvEntry(
title: [Data Analyst],
society: [ABC Company],
logo: image("../src/logos/abc_company.png"),
date: [2017 - 2020],
location: [New York, NY],
description: list(
[Analyze large datasets with SQL and Python, collaborate with teams to uncover business insights],
[Create data visualizations and dashboards in Tableau, develop and maintain data pipelines with AWS],
),
)
#cvEntry(
title: [Data Analysis Intern],
society: [PQR Corporation],
logo: image("../src/logos/pqr_corp.png"),
date: [Summer 2017],
location: [Chicago, IL],
description: list([Assisted with data cleaning, processing, and analysis using Python and Excel, participated in team meetings and contributed to project planning and execution]),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("Projects & Associations")
#cvEntry(
title: [Volunteer Data Analyst],
society: [ABC Nonprofit Organization],
date: [2019 - Present],
location: [New York, NY],
description: list(
[Analyze donor and fundraising data to identify trends and opportunities for growth],
[Create data visualizations and dashboards to communicate insights to the board of directors],
[Collaborate with other volunteers to develop and implement data-driven strategies],
),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvPublication
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#cvSection("Publications")
#cvPublication(
bib: bibliography("../src/publications.bib"),
keyList: (
"smith2020",
"jones2021",
"wilson2022",
),
refStyle: "apa",
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvSkill, hBar
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#cvSection("Skills")
#cvSkill(
type: [Sprachen],
info: [Deutsch #hBar() Englisch],
)
#cvSkill(
type: [Tech Stack],
info: [Tableau #hBar() Python (Pandas/Numpy) #hBar() PostgreSQL],
)
#cvSkill(
type: [Personal Interests],
info: [Swimming #hBar() Cooking #hBar() Reading],
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvHonor
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvHonor = cvHonor.with(metadata: metadata)
#cvSection("Certificates")
#cvHonor(
date: [2022],
title: [AWS Certified Security],
issuer: [Amazon Web Services (AWS)],
)
#cvHonor(
date: [2017],
title: [Applied Data Science with Python],
issuer: [Coursera],
)
#cvHonor(
date: [],
title: [Bases de données et requêtes SQL],
issuer: [OpenClassrooms],
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry, hBar
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("Formation")
#cvEntry(
title: [Master en Science des Données],
society: [Université de Californie à Los Angeles],
date: [2018 - 2020],
location: [USA],
logo: image("../src/logos/ucla.png"),
description: list(
[Thèse : Prédiction du taux de désabonnement des clients dans l'industrie des télécommunications en utilisant des algorithmes d'apprentissage automatique et l'analyse de réseau],
[Cours : Systèmes et technologies Big Data #hBar() Exploration et exploitation de données #hBar() Traitement du langage naturel],
),
)
#cvEntry(
title: [Bachelors en Informatique],
society: [Université de Californie à Los Angeles],
date: [2014 - 2018],
location: [USA],
logo: image("../src/logos/ucla.png"),
description: list(
[Thèse : Exploration de l'utilisation des algorithmes d'apprentissage automatique pour la prédiction des prix des actions : une étude comparative des modèles de régression et de séries chronologiques],
[Cours : Systèmes de base de données #hBar() Réseaux informatiques #hBar() Génie logiciel #hBar() Intelligence artificielle],
),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("Expérience Professionnelle")
#cvEntry(
title: [Directeur de la Science des Données],
society: [XYZ Corporation],
date: [2020 - Présent],
logo: image("../src/logos/xyz_corp.png"),
location: [San Francisco, CA],
description: list(
[Diriger une équipe de scientifiques et d'analystes de données pour développer et mettre en œuvre des stratégies axées sur les données, développer des modèles prédictifs et des algorithmes pour soutenir la prise de décisions dans toute l'organisation],
[Collaborer avec la direction pour identifier les opportunités d'affaires et stimuler la croissance, mettre en œuvre les meilleures pratiques en matière de gouvernance, de qualité et de sécurité des données],
),
tags: ("Exemple de tags ici", "Dataiku", "Snowflake", "SparkSQL"),
)
#cvEntry(
title: [Analyste de Données],
society: [ABC Company],
date: [2017 - 2020],
location: [New York, NY],
logo: image("../src/logos/abc_company.png"),
description: list(
[Analyser de grands ensembles de données avec SQL et Python, collaborer avec les équipes pour découvrir des insights commerciaux],
[Créer des visualisations de données et des tableaux de bord dans Tableau, développer et maintenir des pipelines de données avec AWS],
),
)
#cvEntry(
title: [Stagiaire en Analyse de Données],
society: [PQR Corporation],
date: [été 2017],
location: [Chicago, IL],
logo: image("../src/logos/pqr_corp.png"),
description: list([Aider à la préparation, au traitement et à l'analyse de données à l'aide de Python et Excel, participer aux réunions d'équipe et contribuer à la planification et à l'exécution de projets]),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("Projets & Associations")
#cvEntry(
title: [Analyste de Données Bénévole],
society: [ABC Organisation à But Non Lucratif],
date: [2019 - Présent],
location: [New York, NY],
description: list(
[Analyser les données de donateurs et de collecte de fonds pour identifier les tendances et les opportunités de croissance],
[Créer des visualisations de données et des tableaux de bord pour communiquer des insights au conseil d'administration],
),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvPublication
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#cvSection("Publications")
#cvPublication(
bib: bibliography("../src/publications.bib"),
keyList: (
"smith2020",
"jones2021",
"wilson2022",
),
refStyle: "apa",
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvSkill, hBar
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#cvSection("Compétences")
#cvSkill(
type: [Langues],
info: [Anglais #hBar() Français #hBar() Chinois],
)
#cvSkill(
type: [Tech Stack],
info: [Tableau #hBar() Python (Pandas/Numpy) #hBar() PostgreSQL],
)
#cvSkill(
type: [Centres d'intérêt],
info: [Natation #hBar() Cuisine #hBar() Lecture],
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvHonor
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvHonor = cvHonor.with(metadata: metadata)
#cvSection("证书")
#cvHonor(
date: [2022],
title: [AWS 安全认证],
issuer: [亚马逊网络服务 (AWS)],
)
#cvHonor(
date: [2017],
title: [应用数据科学与 Python],
issuer: [Coursera],
)
#cvHonor(
date: [],
title: [SQL 基础课程],
issuer: [Datacamp],
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry, hBar
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("教育经历")
#cvEntry(
title: [数据科学硕士],
society: [加利福尼亚大学洛杉矶分校],
date: [2018 - 2020],
location: [美国],
logo: image("../src/logos/ucla.png"),
description: list(
[论文: 使用机器学习算法和网络分析预测电信行业的客户流失],
[课程: 大数据系统与技术 #hBar() 数据挖掘与探索 #hBar() 自然语言处理],
),
)
#cvEntry(
title: [计算机科学学士],
society: [加利福尼亚大学洛杉矶分校],
date: [2014 - 2018],
location: [美国],
logo: image("../src/logos/ucla.png"),
description: list(
[论文: 探索使用机器学习算法预测股票价格: 回归与时间序列模型的比较研究],
[课程: 数据库系统 #hBar() 计算机网络 #hBar() 软件工程 #hBar() 人工智能],
),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("职业经历")
#cvEntry(
title: [数据科学主管],
society: [XYZ 公司],
logo: image("../src/logos/xyz_corp.png"),
date: [2020 - 现在],
location: [旧金山, CA],
description: list(
[领导数据科学家和分析师团队,开发和实施数据驱动的策略,开发预测模型和算法以支持组织内部的决策],
[与高级管理团队合作,确定商业机会并推动增长,实施数据治理、质量和安全的最佳实践],
),
tags: ("标签示例", "Dataiku", "Snowflake", "SparkSQL"),
)
#cvEntry(
title: [数据分析师],
society: [ABC 公司],
logo: image("../src/logos/abc_company.png"),
date: [2017 - 2020],
location: [纽约, NY],
description: list(
[使用 SQL Python 分析大型数据集,与团队合作发现商业洞见],
[使用 Tableau 创建数据可视化和仪表板,使用 AWS 开发和维护数据管道],
),
)
#cvEntry(
title: [数据分析实习生],
society: [PQR 公司],
logo: image("../src/logos/pqr_corp.png"),
date: [2017年夏季],
location: [芝加哥, IL],
description: list([协助使用 Python Excel 进行数据清洗、处理和分析,参与团队会议并为项目规划和执行做出贡献]),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvEntry
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)
#cvSection("项目与协会")
#cvEntry(
title: [志愿数据分析师],
society: [ABC 非营利组织],
date: [2019 - 现在],
location: [纽约, NY],
description: list(
[分析捐赠者和筹款数据以识别增长的趋势和机会],
[创建数据可视化和仪表板以向董事会传达洞见],
),
)

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// Imports
#import "@preview/brilliant-cv:2.0.3": cvSection, cvPublication
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#cvSection("学术著作")
#cvPublication(
bib: bibliography("../src/publications.bib"),
keyList: (
"smith2020",
"jones2021",
"wilson2022",
),
refStyle: "apa",
)

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// Import
#import "@preview/brilliant-cv:2.0.3": cvSection, cvSkill, hBar
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#cvSection("技能与兴趣")
#cvSkill(
type: [语言],
info: [英语 #hBar() 法语 #hBar() 中文],
)
#cvSkill(
type: [技术栈],
info: [Tableau #hBar() Python (Pandas/Numpy) #hBar() PostgreSQL],
)
#cvSkill(
type: [个人兴趣],
info: [游泳 #hBar() 烹饪 #hBar() 阅读],
)

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2024/25 - 13 ──┐
2023/24 - 12 │Dieter Forte Gesamtschule
2022/23 - 11 ──┘
2021/22 - 10 ──┐
2020/21 - 9 │
2019/20 - 8 │Carl-Benz Realschule
2018/19 - 7 ──┘
2017/18 - 6 ──┐Leibniz Montessori Gymnasium
2016/17 - 5 ──┘
2015/16 - 4 ──┐
2014/15 - 3 │
2013/14 - 2 │Grundschule Essener Straße
2012/13 - 1 ──┘

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@article{smith2020,
author = {Smith, John},
title = {An Introduction to Data Analysis Techniques},
journal = {Journal of Data Science},
year = {2020},
volume = {15},
number = {2},
pages = {123-145},
}
@inproceedings{jones2021,
author = {Jones, Sarah and Brown, Michael},
title = {Exploratory Data Analysis for Predictive Modeling},
booktitle = {Proceedings of the International Conference on Data Science},
year = {2021},
pages = {256-267},
}
@book{wilson2022,
author = {Wilson, David},
title = {Machine Learning for Data Analysis},
publisher = {Springer},
year = {2022},
}
@techreport{brown2023,
author = {Brown, Emily},
title = {Data Visualization Techniques: A Comparative Study},
institution = {Technical Report},
year = {2023},
}

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#import "@preview/grape-suite:1.0.0": exercise
#import exercise: project
#set text(lang: "de")
#show: project.with(
title: [Motivationsschreiben],
author: "Erik Grobecker",
// date: datetime(day: 12, month: 12, year: 2024),
)
Sehr geehrte Damen und Herren,
mit großem Interesse habe ich Ihr Angebot für ein duales Studium der Verwaltungsinformatik mit dem Abschluss _Bachelor of Science_ wahrgenommen.
Als zukünftiger Abiturient der Dieter-Forte-Gesamtschule bewerbe ich mich für einen Studienplatz im Studiengang Verwaltungsinformatik zum Jahr 2025.
Während meiner Schulzeit habe ich mich oft mit Informatik beschäftigt und konnte dieses Wissen auch außerschulisch vertiefen.\
So habe ich mir Kenntnisse über Virtualisierungsthemen im Serverbereich angeeignet,
wie z.B. Vollvirtualisierung durch den Einsatz von KVM/QEMU oder Xen,
oder der partiellen Virtualisierung, der "Containerisierung" durch Möglichkeiten wie Docker oder Kubernetes.
Außerdem habe ich mich mit Serversystemen wie Debian oder Ubuntu vertraut gemacht und bin mittlerweile sogar in der Lage, einen eigenen Mailserver zu betreiben.
/*
Praktikum:
- NOW IT
- LBV
*/
Dieses Interesse wurde durch Praktika weiter gefördert #footnote[leider habe ich auf der Bewerbungsseite keine Stelle gefunden, wo ich ein Praktikumszeugnis hochladen kann] ,
darunter ein Praktikum bei *NOW IT*, wo ich in vielen Netzwerkthemen wie Netzwerktopologie oder Grundlagen der Netzwerktechnik geschult wurde.\
Ein weiteres Praktikum absolvierte ich im letzten Jahr beim *Landesamt für Besoldung und Versorgung (LBV)*, wo mein Interesse für Server- und Netzwerktechnik noch weiter vertieft wurde.
Ich interessiere mich für den öffentlichen Dienst zu arbeiten, weil ich glaube, dass es wichtig ist, demokratische Prozesse durch Technologie zu unterstützen.\
Generell bin ich auch schon als Wahlhelfer aktiv, da ich das demokratische System in Deutschland wichtig finde und unterstützen möchte.
#text(size: 15pt)[Erik Grobecker]