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Alex van de Sandt (Jul 14, 2026, 3:16 PM -0500) fc247e9b d6593c62

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-23
profile_de/certificates.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-honor, cv-section 3 - 4 - 5 - #cv-section("Zertifikate") 6 - 7 - #cv-honor( 8 - date: [2022], 9 - title: [AWS: Zertifizierte Sicherheit], 10 - issuer: [Amazon Web Services (AWS)], 11 - ) 12 - 13 - #cv-honor( 14 - date: [2017], 15 - title: [Angewandte Datenwissenschaft mit Python], 16 - issuer: [Coursera], 17 - ) 18 - 19 - #cv-honor( 20 - date: [], 21 - title: [SQL-Grundlagenkurs], 22 - issuer: [Datacamp], 23 - )
-29
profile_de/education.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section, h-bar 3 - 4 - 5 - #cv-section("Abschlüsse") 6 - 7 - #cv-entry( 8 - title: [Master of Data Science], 9 - society: [Universität von Kalifornien, Los Angeles], 10 - date: [2018 - 2020], 11 - location: [USA], 12 - logo: image("../assets/logos/ucla.png"), 13 - description: list( 14 - [Dissertation: Vorhersage der Kundenabwanderung in der Telekommunikationsbranche mit Hilfe von Algorithmen des maschinellen Lernens und Netzwerkanalyse], 15 - [Kurs: Big-Data-Systeme und -Technologien #h-bar() Data Mining und Exploration #h-bar() Natural Language Processing], 16 - ), 17 - ) 18 - 19 - #cv-entry( 20 - title: [Bachelors of Science in Informatik], 21 - society: [Universität von Kalifornien, Los Angeles], 22 - date: [2018 - 2020], 23 - location: [USA], 24 - logo: image("../assets/logos/ucla.png"), 25 - description: list( 26 - [Dissertation: Erforschung des Einsatzes von Algorithmen des maschinellen Lernens zur Vorhersage von Aktienkursen: Eine vergleichende Studie von Regressions- und Zeitreihenmodellen], 27 - [Kurs: Datenbanksysteme #h-bar() Rechnernetze #h-bar() Softwaretechnik #h-bar() Künstliche Intelligenz], 28 - ), 29 - )
-65
profile_de/metadata.toml
··· 1 - #:schema https://raw.githubusercontent.com/yunanwg/brilliant-CV/main/metadata.toml.schema.json 2 - 3 - # Profile: German. See profile_en/metadata.toml for inline documentation 4 - # of every field. 5 - header_quote = "Erfahrener Datenanalyst sucht ab sofort eine Vollzeitstelle" 6 - cv_footer = "Lebenslauf" 7 - letter_footer = "Anschreiben" 8 - 9 - [layout] 10 - awesome_color = "skyblue" 11 - before_section_skip = "1pt" 12 - before_entry_skip = "1pt" 13 - before_entry_description_skip = "1pt" 14 - paper_size = "a4" 15 - date_width = "3.6cm" 16 - 17 - [layout.fonts] 18 - regular_fonts = ["Source Sans 3"] 19 - header_font = "Roboto" 20 - 21 - [layout.header] 22 - header_align = "left" 23 - display_profile_photo = true 24 - profile_photo_radius = "50%" 25 - info_font_size = "10pt" 26 - 27 - [layout.entry] 28 - display_entry_society_first = true 29 - display_logo = true 30 - 31 - [layout.section] 32 - title_highlight = "first-letters" 33 - title_highlight_letters = 3 34 - 35 - [layout.footer] 36 - display_page_counter = false 37 - display_footer = true 38 - 39 - 40 - [inject] 41 - injected_keywords_list = ["Datenanalyst", "GCP", "Python", "SQL", "Tableau"] 42 - 43 - [personal] 44 - first_name = "John" 45 - last_name = "Doe" 46 - 47 - [personal.info] 48 - github = "yunanwg" 49 - phone = "+49 30 12345678" 50 - email = "john.doe@me.org" 51 - linkedin = "johndoe" 52 - gitlab = "yunanwg" 53 - homepage = "johndoe.dev" 54 - orcid = "0000-0000-0000-0000" 55 - location = "Berlin, Deutschland" 56 - 57 - [personal.info.custom-degree] 58 - awesomeIcon = "graduation-cap" 59 - text = "Doktorat in Datenwissenschaft" 60 - link = "https://www.example.com" 61 - 62 - [personal.info.custom-cert] 63 - awesomeIcon = "certificate" 64 - text = "AWS Certified" 65 - link = "https://aws.amazon.com/certification/"
-49
profile_de/professional.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": ( 3 - cv-entry, cv-entry-continued, cv-entry-start, cv-section, 4 - ) 5 - 6 - 7 - #cv-section("Berufliche Erfahrung") 8 - 9 - #cv-entry-start( 10 - society: [XYZ Gesellschaft], 11 - logo: image("../assets/logos/xyz_corp.png"), 12 - location: [San Francisco, CA], 13 - ) 14 - 15 - #cv-entry-continued( 16 - title: [Direktor für Datenwissenschaft], 17 - date: [2020 - Heute], 18 - description: list( 19 - [Leitung eines Teams von Datenwissenschaftlern und -analysten zur Entwicklung und Umsetzung datengesteuerter Strategien, Entwicklung von Prognosemodellen und Algorithmen zur Unterstützung der Entscheidungsfindung im gesamten Unternehmen], 20 - [Zusammenarbeit mit der Geschäftsleitung, um Geschäftsmöglichkeiten zu ermitteln und das Wachstum voranzutreiben, Umsetzung bewährter Verfahren für Datenverwaltung, -qualität und -sicherheit], 21 - ), 22 - tags: ("Dataiku", "Snowflake", "SparkSQL"), 23 - ) 24 - 25 - #cv-entry( 26 - title: [Datenanalyst], 27 - society: [ABC Unternehmen], 28 - logo: image("../assets/logos/abc_company.png"), 29 - date: [2017 - 2020], 30 - location: [New York, NY], 31 - description: list( 32 - [Analyse von großen Datenmengen mit SQL und Python, zusammenarbeit mit Teams, um geschäftliche Erkenntnisse zu gewinnen], 33 - [Erstellung von Datenvisualisierungen und Dashboards in Tableau, Entwicklung und Pflege von Datenpipelines mit AWS], 34 - ), 35 - ) 36 - 37 - #cv-entry( 38 - title: [Praktikant Datenanalyst], 39 - society: [PQR Gesellschaft], 40 - logo: image("../assets/logos/pqr_corp.png"), 41 - date: list( 42 - [Sommer 2017], 43 - [Sommer 2016], 44 - ), 45 - location: [Chicago, IL], 46 - description: list( 47 - [Unterstützung bei der Datenbereinigung, -verarbeitung und -analyse mit Python und Excel, Teilnahme an Teambesprechungen und Mitwirkung bei der Projektplanung und -durchführung], 48 - ), 49 - )
-17
profile_de/projects.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section 3 - 4 - 5 - #cv-section("Projekte und Verbände") 6 - 7 - #cv-entry( 8 - title: [Ehrenamtlicher Datenanalyst], 9 - society: [ABC Gemeinnützige Organisation], 10 - date: [2019 - Heute], 11 - location: [New York, NY], 12 - description: list( 13 - [Analyse von Spender- und Fundraising-Daten zur Ermittlung von Trends und Wachstumsmöglichkeiten], 14 - [Erstellung von Datenvisualisierungen und Dashboards zur Vermittlung von Erkenntnissen an den Vorstand], 15 - [Zusammenarbeit mit anderen Freiwilligen bei der Entwicklung und Umsetzung datengestützter Strategien], 16 - ), 17 - )
-15
profile_de/publications.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-publication, cv-section 3 - 4 - 5 - #cv-section("Veröffentlichungen") 6 - 7 - #cv-publication( 8 - bib: bibliography("../assets/publications.bib"), 9 - key-list: ( 10 - "smith2020", 11 - "jones2021", 12 - "wilson2022", 13 - ), 14 - ref-style: "apa", 15 - )
-38
profile_de/skills.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": ( 3 - cv-section, cv-skill, cv-skill-tag, cv-skill-with-level, h-bar, 4 - ) 5 - 6 - 7 - #cv-section("Fähigkeiten") 8 - 9 - #cv-skill-with-level( 10 - type: [Sprachen], 11 - level: 4, 12 - info: [Deutsch (Muttersprache) #h-bar() Englisch (Fließend) #h-bar() Französisch (Konversation)], 13 - ) 14 - 15 - #cv-skill-with-level( 16 - type: [Programmierung], 17 - level: 5, 18 - info: [Python #h-bar() SQL #h-bar() R], 19 - ) 20 - 21 - #cv-skill( 22 - type: [Technologie Stack], 23 - info: [Tableau #h-bar() Snowflake #h-bar() AWS #h-bar() Docker #h-bar() Git], 24 - ) 25 - 26 - #cv-skill( 27 - type: [Zertifizierungen], 28 - info: [ 29 - #cv-skill-tag([AWS Zertifiziert]) 30 - #cv-skill-tag([Google Analytics]) 31 - #cv-skill-tag([Tableau Desktop]) 32 - ], 33 - ) 34 - 35 - #cv-skill( 36 - type: [Persönliche Interessen], 37 - info: [Schwimmen #h-bar() Kochen #h-bar() Lesen #h-bar() Fotografie], 38 - )
-23
profile_fr/certificates.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-honor, cv-section 3 - 4 - 5 - #cv-section("Certificates") 6 - 7 - #cv-honor( 8 - date: [2022], 9 - title: [AWS Certified Security], 10 - issuer: [Amazon Web Services (AWS)], 11 - ) 12 - 13 - #cv-honor( 14 - date: [2017], 15 - title: [Applied Data Science with Python], 16 - issuer: [Coursera], 17 - ) 18 - 19 - #cv-honor( 20 - date: [], 21 - title: [Bases de données et requêtes SQL], 22 - issuer: [OpenClassrooms], 23 - )
-29
profile_fr/education.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section, h-bar 3 - 4 - 5 - #cv-section("Formation") 6 - 7 - #cv-entry( 8 - title: [Master en Science des Données], 9 - society: [Université de Californie à Los Angeles], 10 - date: [2018 - 2020], 11 - location: [USA], 12 - logo: image("../assets/logos/ucla.png"), 13 - description: list( 14 - [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], 15 - [Cours : Systèmes et technologies Big Data #h-bar() Exploration et exploitation de données #h-bar() Traitement du langage naturel], 16 - ), 17 - ) 18 - 19 - #cv-entry( 20 - title: [Bachelors en Informatique], 21 - society: [Université de Californie à Los Angeles], 22 - date: [2014 - 2018], 23 - location: [USA], 24 - logo: image("../assets/logos/ucla.png"), 25 - description: list( 26 - [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], 27 - [Cours : Systèmes de base de données #h-bar() Réseaux informatiques #h-bar() Génie logiciel #h-bar() Intelligence artificielle], 28 - ), 29 - )
-70
profile_fr/metadata.toml
··· 1 - #:schema https://raw.githubusercontent.com/yunanwg/brilliant-CV/main/metadata.toml.schema.json 2 - 3 - # Profile: French. See profile_en/metadata.toml for inline documentation 4 - # of every field. 5 - header_quote = "Analyste de données expérimenté à la recherche d'un emploi à temps plein disponible dès maintenant" 6 - cv_footer = "Résumé" 7 - letter_footer = "Lettre de motivation" 8 - 9 - [layout] 10 - awesome_color = "skyblue" 11 - before_section_skip = "1pt" 12 - before_entry_skip = "1pt" 13 - before_entry_description_skip = "1pt" 14 - paper_size = "a4" 15 - date_width = "3.4cm" 16 - 17 - [layout.fonts] 18 - regular_fonts = ["Source Sans 3"] 19 - header_font = "Roboto" 20 - 21 - [layout.header] 22 - header_align = "left" 23 - display_profile_photo = true 24 - profile_photo_radius = "50%" 25 - info_font_size = "10pt" 26 - 27 - [layout.entry] 28 - display_entry_society_first = true 29 - display_logo = true 30 - 31 - [layout.section] 32 - title_highlight = "first-letters" 33 - title_highlight_letters = 3 34 - 35 - [layout.footer] 36 - display_page_counter = false 37 - display_footer = true 38 - 39 - 40 - [inject] 41 - injected_keywords_list = ["Analyste de Données", "GCP", "Python", "SQL", "Tableau"] 42 - 43 - [personal] 44 - first_name = "John" 45 - last_name = "Doe" 46 - 47 - [personal.info] 48 - github = "yunanwg" 49 - phone = "+33 6 12 34 56 78" 50 - email = "john.doe@me.org" 51 - linkedin = "johndoe" 52 - gitlab = "yunanwg" 53 - homepage = "johndoe.dev" 54 - orcid = "0000-0000-0000-0000" 55 - location = "Paris, France" 56 - 57 - [personal.info.custom-degree] 58 - awesomeIcon = "graduation-cap" 59 - text = "Doctorat en Science des Données" 60 - link = "https://www.example.com" 61 - 62 - [personal.info.custom-cert] 63 - awesomeIcon = "certificate" 64 - text = "AWS Certified" 65 - link = "https://aws.amazon.com/certification/" 66 - 67 - # Profile-unique entry: French CV convention often lists driver's licence 68 - [personal.info.custom-car] 69 - awesomeIcon = "car" 70 - text = "Permis B"
-49
profile_fr/professional.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": ( 3 - cv-entry, cv-entry-continued, cv-entry-start, cv-section, 4 - ) 5 - 6 - 7 - #cv-section("Expérience Professionnelle") 8 - 9 - #cv-entry-start( 10 - society: [XYZ Corporation], 11 - logo: image("../assets/logos/xyz_corp.png"), 12 - location: [San Francisco, CA], 13 - ) 14 - 15 - #cv-entry-continued( 16 - title: [Directeur de la Science des Données], 17 - date: [2020 - Présent], 18 - description: list( 19 - [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], 20 - [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], 21 - ), 22 - tags: ("Dataiku", "Snowflake", "SparkSQL"), 23 - ) 24 - 25 - #cv-entry( 26 - title: [Analyste de Données], 27 - society: [ABC Company], 28 - date: [2017 - 2020], 29 - location: [New York, NY], 30 - logo: image("../assets/logos/abc_company.png"), 31 - description: list( 32 - [Analyser de grands ensembles de données avec SQL et Python, collaborer avec les équipes pour découvrir des insights commerciaux], 33 - [Créer des visualisations de données et des tableaux de bord dans Tableau, développer et maintenir des pipelines de données avec AWS], 34 - ), 35 - ) 36 - 37 - #cv-entry( 38 - title: [Stagiaire en Analyse de Données], 39 - society: [PQR Corporation], 40 - date: list( 41 - [été 2017], 42 - [été 2016], 43 - ), 44 - location: [Chicago, IL], 45 - logo: image("../assets/logos/pqr_corp.png"), 46 - description: list( 47 - [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], 48 - ), 49 - )
-16
profile_fr/projects.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section 3 - 4 - 5 - #cv-section("Projets & Associations") 6 - 7 - #cv-entry( 8 - title: [Analyste de Données Bénévole], 9 - society: [ABC Organisation à But Non Lucratif], 10 - date: [2019 - Présent], 11 - location: [New York, NY], 12 - description: list( 13 - [Analyser les données de donateurs et de collecte de fonds pour identifier les tendances et les opportunités de croissance], 14 - [Créer des visualisations de données et des tableaux de bord pour communiquer des insights au conseil d'administration], 15 - ), 16 - )
-15
profile_fr/publications.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-publication, cv-section 3 - 4 - 5 - #cv-section("Publications") 6 - 7 - #cv-publication( 8 - bib: bibliography("../assets/publications.bib"), 9 - key-list: ( 10 - "smith2020", 11 - "jones2021", 12 - "wilson2022", 13 - ), 14 - ref-style: "apa", 15 - )
-20
profile_fr/skills.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-section, cv-skill, h-bar 3 - 4 - 5 - #cv-section("Compétences") 6 - 7 - #cv-skill( 8 - type: [Langues], 9 - info: [Anglais #h-bar() Français #h-bar() Chinois], 10 - ) 11 - 12 - #cv-skill( 13 - type: [Tech Stack], 14 - info: [Tableau #h-bar() Python (Pandas/Numpy) #h-bar() PostgreSQL], 15 - ) 16 - 17 - #cv-skill( 18 - type: [Centres d'intérêt], 19 - info: [Natation #h-bar() Cuisine #h-bar() Lecture], 20 - )
-23
profile_it/certificates.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-honor, cv-section 3 - 4 - 5 - #cv-section("Certificazioni") 6 - 7 - #cv-honor( 8 - date: [2022], 9 - title: [AWS Certified Security], 10 - issuer: [Amazon Web Services (AWS)], 11 - ) 12 - 13 - #cv-honor( 14 - date: [2017], 15 - title: [Applied Data Science with Python], 16 - issuer: [Coursera], 17 - ) 18 - 19 - #cv-honor( 20 - date: [], 21 - title: [Fondamenti di SQL], 22 - issuer: [Datacamp], 23 - )
-29
profile_it/education.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section, h-bar 3 - 4 - 5 - #cv-section("Istruzione") 6 - 7 - #cv-entry( 8 - title: [Master in Data Science], 9 - society: [Università della California, Los Angeles], 10 - date: [2018 - 2020], 11 - location: [USA], 12 - logo: image("../assets/logos/ucla.png"), 13 - description: list( 14 - [Tesi: Previsione del tasso di abbandono dei clienti nel settore delle telecomunicazioni mediante algoritmi di apprendimento automatico e analisi delle reti], 15 - [Corsi: Sistemi e tecnologie basati su Big Data #h-bar() Data Mining #h-bar() Natural language processing], 16 - ), 17 - ) 18 - 19 - #cv-entry( 20 - title: [Laurea in informatica], 21 - society: [Università della California, Los Angeles], 22 - date: [2018 - 2020], 23 - location: [USA], 24 - logo: image("../assets/logos/ucla.png"), 25 - description: list( 26 - [Tesi: Esplorazione di algoritmi di apprendimento automatico per prevedere i prezzi delle azioni: uno studio comparativo di modelli di regressione e serie temporali], 27 - [Corsi: Sistemi di database #h-bar() Reti di calcolatori #h-bar() Ingegneria del software #h-bar() Intelligenza artificiale], 28 - ), 29 - )
-65
profile_it/metadata.toml
··· 1 - #:schema https://raw.githubusercontent.com/yunanwg/brilliant-CV/main/metadata.toml.schema.json 2 - 3 - # Profile: Italian. See profile_en/metadata.toml for inline documentation 4 - # of every field. 5 - header_quote = "Senior data analyst attualmente disponibile per una posizione di lavoro full-time" 6 - cv_footer = "Curriculum vitae" 7 - letter_footer = "Lettera di presentazione" 8 - 9 - [layout] 10 - awesome_color = "skyblue" 11 - before_section_skip = "1pt" 12 - before_entry_skip = "1pt" 13 - before_entry_description_skip = "1pt" 14 - paper_size = "a4" 15 - date_width = "3.9cm" 16 - 17 - [layout.fonts] 18 - regular_fonts = ["Source Sans 3"] 19 - header_font = "Roboto" 20 - 21 - [layout.header] 22 - header_align = "left" 23 - display_profile_photo = true 24 - profile_photo_radius = "50%" 25 - info_font_size = "10pt" 26 - 27 - [layout.entry] 28 - display_entry_society_first = true 29 - display_logo = true 30 - 31 - [layout.section] 32 - title_highlight = "first-letters" 33 - title_highlight_letters = 3 34 - 35 - [layout.footer] 36 - display_page_counter = false 37 - display_footer = true 38 - 39 - 40 - [inject] 41 - injected_keywords_list = ["Analista di Dati", "GCP", "Python", "SQL", "Tableau"] 42 - 43 - [personal] 44 - first_name = "John" 45 - last_name = "Doe" 46 - 47 - [personal.info] 48 - github = "yunanwg" 49 - phone = "+39 02 12345678" 50 - email = "john.doe@me.org" 51 - linkedin = "johndoe" 52 - gitlab = "yunanwg" 53 - homepage = "johndoe.dev" 54 - orcid = "0000-0000-0000-0000" 55 - location = "Milano, Italia" 56 - 57 - [personal.info.custom-degree] 58 - awesomeIcon = "graduation-cap" 59 - text = "Dottorato in Scienze dei Dati" 60 - link = "https://www.example.com" 61 - 62 - [personal.info.custom-cert] 63 - awesomeIcon = "certificate" 64 - text = "AWS Certified" 65 - link = "https://aws.amazon.com/certification/"
-46
profile_it/professional.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": ( 3 - cv-entry, cv-entry-continued, cv-entry-start, cv-section, 4 - ) 5 - 6 - 7 - #cv-section("Esperienze di lavoro") 8 - 9 - #cv-entry-start( 10 - society: [XYZ Corporation], 11 - logo: image("../assets/logos/xyz_corp.png"), 12 - location: [San Francisco, CA], 13 - ) 14 - 15 - #cv-entry-continued( 16 - title: [Direttore di Data Science], 17 - date: [2020 - Presente], 18 - description: list( 19 - [Guido un team di data scientist e analisti per sviluppare e implementare strategie basate sui dati, sviluppo modelli predittivi e algoritmi per supportare il processo decisionale in tutta l'organizzazione], 20 - [Collaboro con la dirigenza esecutiva per identificare opportunità di business e guidare la crescita, implemento le migliori pratiche per la governance dei dati, la qualità e la sicurezza], 21 - ), 22 - tags: ("Dataiku", "Snowflake", "SparkSQL"), 23 - ) 24 - 25 - #cv-entry( 26 - title: [Data Analyst], 27 - society: [ABC Company], 28 - logo: image("../assets/logos/abc_company.png"), 29 - date: [2017 - 2020], 30 - location: [New York, NY], 31 - description: list( 32 - [Analizzo dataset di grandi dimensioni con SQL e Python, collaboro con i team per avere informazioni utili a livello di business], 33 - [Creo visualizzazioni di dati e dashboard con Tableau, sviluppo e gestisco pipeline di dati con AWS], 34 - ), 35 - ) 36 - 37 - #cv-entry( 38 - title: [Tirocinio in Data Analysis], 39 - society: [PQR Corporation], 40 - logo: image("../assets/logos/pqr_corp.png"), 41 - date: [Summer 2017], 42 - location: [Chicago, IL], 43 - description: list( 44 - [Ho collaborato alla pulizia, all'elaborazione e all'analisi dei dati utilizzando Python ed Excel, ho partecipato alle riunioni del team e ho contribuito alla pianificazione e all'esecuzione del progetto], 45 - ), 46 - )
-17
profile_it/projects.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section 3 - 4 - 5 - #cv-section("Progetti") 6 - 7 - #cv-entry( 8 - title: [Data Analyst volontario], 9 - society: [ABC Nonprofit Organization], 10 - date: [2019 - Present], 11 - location: [New York, NY], 12 - description: list( 13 - [Analizzo i dati sui donatori e sulla raccolta fondi per identificare tendenze e opportunità di crescita], 14 - [Creo visualizzazioni di dati e dashboard per comunicare informazioni al consiglio di amministrazione], 15 - [Collaboro con altri volontari per sviluppare e implementare strategie basate sui dati], 16 - ), 17 - )
-15
profile_it/publications.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-publication, cv-section 3 - 4 - 5 - #cv-section("Pubblicazioni") 6 - 7 - #cv-publication( 8 - bib: bibliography("../assets/publications.bib"), 9 - key-list: ( 10 - "smith2020", 11 - "jones2021", 12 - "wilson2022", 13 - ), 14 - ref-style: "apa", 15 - )
-20
profile_it/skills.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-section, cv-skill, h-bar 3 - 4 - 5 - #cv-section("Competenze") 6 - 7 - #cv-skill( 8 - type: [Lingue], 9 - info: [Inglese #h-bar() Francese #h-bar() Cinese], 10 - ) 11 - 12 - #cv-skill( 13 - type: [Tecnologie], 14 - info: [Tableau #h-bar() Python (Pandas/Numpy) #h-bar() PostgreSQL], 15 - ) 16 - 17 - #cv-skill( 18 - type: [Interessi personali], 19 - info: [Nuoto #h-bar() Cucina #h-bar() Lettura], 20 - )
-23
profile_zh/certificates.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-honor, cv-section 3 - 4 - 5 - #cv-section("证书") 6 - 7 - #cv-honor( 8 - date: [2022], 9 - title: [AWS 安全认证], 10 - issuer: [亚马逊网络服务 (AWS)], 11 - ) 12 - 13 - #cv-honor( 14 - date: [2017], 15 - title: [应用数据科学与 Python], 16 - issuer: [Coursera], 17 - ) 18 - 19 - #cv-honor( 20 - date: [], 21 - title: [SQL 基础课程], 22 - issuer: [Datacamp], 23 - )
-29
profile_zh/education.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section, h-bar 3 - 4 - 5 - #cv-section("教育经历") 6 - 7 - #cv-entry( 8 - title: [数据科学硕士], 9 - society: [加利福尼亚大学洛杉矶分校], 10 - date: [2018 - 2020], 11 - location: [美国], 12 - logo: image("../assets/logos/ucla.png"), 13 - description: list( 14 - [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], 15 - [课程: 大数据系统与技术 #h-bar() 数据挖掘与探索 #h-bar() 自然语言处理], 16 - ), 17 - ) 18 - 19 - #cv-entry( 20 - title: [计算机科学学士], 21 - society: [加利福尼亚大学洛杉矶分校], 22 - date: [2014 - 2018], 23 - location: [美国], 24 - logo: image("../assets/logos/ucla.png"), 25 - description: list( 26 - [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], 27 - [课程: 数据库系统 #h-bar() 计算机网络 #h-bar() 软件工程 #h-bar() 人工智能], 28 - ), 29 - )
-74
profile_zh/metadata.toml
··· 1 - #:schema https://raw.githubusercontent.com/yunanwg/brilliant-CV/main/metadata.toml.schema.json 2 - 3 - # Profile: Chinese. Demonstrates the explicit-typography pattern — every 4 - # locale-specific decision is made in this file, with no hidden `language` 5 - # triggers in the package. See profile_en/metadata.toml for field docs. 6 - header_quote = "具有丰富经验的数据分析师，随时可入职" 7 - cv_footer = "简历" 8 - letter_footer = "申请信" 9 - 10 - [layout] 11 - awesome_color = "skyblue" 12 - before_section_skip = "1pt" 13 - before_entry_skip = "1pt" 14 - before_entry_description_skip = "1pt" 15 - paper_size = "a4" 16 - # Wider date column accommodates Chinese month/year strings. 17 - date_width = "4.7cm" 18 - 19 - [layout.fonts] 20 - # Mixed Source Sans 3 + Heiti SC. Typst's codepoint-level fallback 21 - # picks Heiti SC for CJK characters and Source Sans 3 for Latin. 22 - regular_fonts = ["Source Sans 3", "Heiti SC"] 23 - header_font = "Heiti SC" 24 - 25 - [layout.header] 26 - header_align = "left" 27 - display_profile_photo = true 28 - profile_photo_radius = "50%" 29 - info_font_size = "10pt" 30 - 31 - [layout.entry] 32 - display_entry_society_first = true 33 - display_logo = true 34 - 35 - [layout.section] 36 - # CJK convention: section title rendered in accent color as a whole, 37 - # not split into "first N letters + rest" — splitting Chinese 38 - # characters by codepoint count is rarely meaningful. 39 - title_highlight = "full" 40 - 41 - [layout.footer] 42 - display_page_counter = false 43 - display_footer = true 44 - 45 - 46 - [inject] 47 - injected_keywords_list = ["数据分析师", "GCP", "Python", "SQL", "Tableau"] 48 - 49 - [personal] 50 - first_name = "John" 51 - last_name = "Doe" 52 - # display_name overrides the Latin "first (light) + last (bold)" split 53 - # with a single CJK string in the first-name light style. 54 - display_name = "王道尔" 55 - 56 - [personal.info] 57 - github = "yunanwg" 58 - phone = "+86 138 0000 0000" 59 - email = "john.doe@me.org" 60 - linkedin = "johndoe" 61 - gitlab = "yunanwg" 62 - homepage = "johndoe.dev" 63 - orcid = "0000-0000-0000-0000" 64 - location = "上海" 65 - 66 - [personal.info.custom-degree] 67 - awesomeIcon = "graduation-cap" 68 - text = "数据科学博士" 69 - link = "https://www.example.com" 70 - 71 - [personal.info.custom-cert] 72 - awesomeIcon = "certificate" 73 - text = "AWS Certified" 74 - link = "https://aws.amazon.com/certification/"
-49
profile_zh/professional.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": ( 3 - cv-entry, cv-entry-continued, cv-entry-start, cv-section, 4 - ) 5 - 6 - 7 - #cv-section("职业经历") 8 - 9 - #cv-entry-start( 10 - society: [XYZ 公司], 11 - logo: image("../assets/logos/xyz_corp.png"), 12 - location: [旧金山, CA], 13 - ) 14 - 15 - #cv-entry-continued( 16 - title: [数据科学主管], 17 - date: [2020 - 现在], 18 - description: list( 19 - [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], 20 - [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], 21 - ), 22 - tags: ("Dataiku", "Snowflake", "SparkSQL"), 23 - ) 24 - 25 - #cv-entry( 26 - title: [数据分析师], 27 - society: [ABC 公司], 28 - logo: image("../assets/logos/abc_company.png"), 29 - date: [2017 - 2020], 30 - location: [纽约, NY], 31 - description: list( 32 - [使用 SQL 和 Python 分析大型数据集，与团队合作发现商业洞见], 33 - [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], 34 - ), 35 - ) 36 - 37 - #cv-entry( 38 - title: [数据分析实习生], 39 - society: [PQR 公司], 40 - logo: image("../assets/logos/pqr_corp.png"), 41 - date: list( 42 - [2017年夏季], 43 - [2016年夏季], 44 - ), 45 - location: [芝加哥, IL], 46 - description: list( 47 - [协助使用 Python 和 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], 48 - ), 49 - )
-16
profile_zh/projects.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-entry, cv-section 3 - 4 - 5 - #cv-section("项目与协会") 6 - 7 - #cv-entry( 8 - title: [志愿数据分析师], 9 - society: [ABC 非营利组织], 10 - date: [2019 - 现在], 11 - location: [纽约, NY], 12 - description: list( 13 - [分析捐赠者和筹款数据以识别增长的趋势和机会], 14 - [创建数据可视化和仪表板以向董事会传达洞见], 15 - ), 16 - )
-15
profile_zh/publications.typ
··· 1 - // Imports 2 - #import "@preview/brilliant-cv:4.0.1": cv-publication, cv-section 3 - 4 - 5 - #cv-section("学术著作") 6 - 7 - #cv-publication( 8 - bib: bibliography("../assets/publications.bib"), 9 - key-list: ( 10 - "smith2020", 11 - "jones2021", 12 - "wilson2022", 13 - ), 14 - ref-style: "apa", 15 - )
-20
profile_zh/skills.typ
··· 1 - // Import 2 - #import "@preview/brilliant-cv:4.0.1": cv-section, cv-skill, h-bar 3 - 4 - 5 - #cv-section("技能与兴趣") 6 - 7 - #cv-skill( 8 - type: [语言], 9 - info: [英语 #h-bar() 法语 #h-bar() 中文], 10 - ) 11 - 12 - #cv-skill( 13 - type: [技术栈], 14 - info: [Tableau #h-bar() Python (Pandas/Numpy) #h-bar() PostgreSQL], 15 - ) 16 - 17 - #cv-skill( 18 - type: [个人兴趣], 19 - info: [游泳 #h-bar() 烹饪 #h-bar() 阅读], 20 - )