anfang von lebenslauf und motivationsschreiben

others/brilliant-cv/modules_en/certificates.typ

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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],
+)

others/brilliant-cv/modules_en/education.typ

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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],
+  ),
+)

others/brilliant-cv/modules_en/professional.typ

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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]),
+)

others/brilliant-cv/modules_en/projects.typ

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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],
+  ),
+)

others/brilliant-cv/modules_en/publications.typ

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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",
+)

others/brilliant-cv/modules_en/skills.typ

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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],
+)