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Wagon se doit de faire conna\u00eetre les femmes qui contribuent actuellement aux avanc\u00e9es num\u00e9riques et technologiques dans le monde. C\u2019est notamment au travers de la repr\u00e9sentation de nos \u00e9tudiantes que nous participons \u00e0 la d\u00e9construction des st\u00e9r\u00e9otypes du monde de la Tech. Elles ont toutes une sucess story \u00e0 nous partager: et si c\u2019\u00e9tait toi la prochaine ?","_yoast_wpseo_title":"Meet 3 of our Data Science alumni #BreakTheBias | Le Wagon","contenu_de_larticle":"

\n La Journ\u00e9e Internationale des Droits des Femmes (le 8 mars) c\u00e9l\u00e8bre les r\u00e9alisations sociales, \u00e9conomiques, culturelles et politiques des femmes. Cette ann\u00e9e, le th\u00e8me \"\n Break the Bias<\/a>\" a \u00e9t\u00e9 choisi pour donner le ton de cette \u00e9dition 2022. Cette journ\u00e9e constitue \u00e9galement un appel \u00e0 l'action pour \n acc\u00e9l\u00e9rer la parit\u00e9 entre les sexes<\/strong>.\n
\n
Notre objectif ? Mettre en lumi\u00e8re les femmes qui contribuent actuellement aux avanc\u00e9es num\u00e9riques et technologiques dans le monde entier, notamment au travers de la repr\u00e9sentation de nos anciennes \u00e9l\u00e8ves. \n
\n \n
\n \n
\n Eva, entrepreneuse tech.jpg<\/span> \n 237.48 KB<\/span>\n <\/figcaption>\n <\/figure><\/a>\n
\"Bonjour, je m'appelle Eva, je suis originaire d'Allemagne et j'ai fait le bootcamp du Wagon en Data Science \u00e0 Amsterdam. Je travaillais dans le conseil strat\u00e9gique pour de grandes entreprises : ma mission \u00e9tait de construire leur strat\u00e9gie et de collaborer avec le client sur diff\u00e9rentes probl\u00e9matiques. La plupart de ces probl\u00e9matiques tournaient autour d\u2019un m\u00eame sujet r\u00e9current : comment exploiter les donn\u00e9es ? J'ai ainsi vite compris mon app\u00e9tence l\u00e0-dessus et cela m'a donn\u00e9 envie de relever le challenge et d'appliquer la Data Science \u00e0 mon m\u00e9tier de Consultante en Strat\u00e9gie.\n
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Au Wagon, nous travaillons sur un projet de groupe pendant les deux derni\u00e8res semaines du bootcamp. Avec mon \u00e9quipe, nous avons r\u00e9alis\u00e9 un projet li\u00e9 \u00e0 l'industrie de la musique. C'est apr\u00e8s une discussion avec un de mes coll\u00e8gues qui travaille comme producteur de musique que l'id\u00e9e a germ\u00e9. L'application de la Data Science dans cette industrie nous paraissait vraiment int\u00e9ressante. Dans le cadre de cet exercice, nous avons \u00e9galement eu l'occasion de collaborer avec Place Called Home, une maison de disques.\n
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Nous sommes d'abord partis sur un prototype dont la mission \u00e9tait d'aider cette maison de disques \u00e0 pr\u00e9dire le nombre de streams pour des chansons donn\u00e9es sur des listes de lecture donn\u00e9es.\n
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Apr\u00e8s notre pr\u00e9sentation lors du Demo Day de fin de batch au Wagon, \n Place Called Home<\/em> a vraiment ador\u00e9 le produit final et a voulu continuer \u00e0 travailler avec nous sur ce projet. Nous sommes maintenant en train de construire le MVP (minimal viable product) et nous sommes confiants quant \u00e0 ce que 2022 nous r\u00e9serve !\u201d\n
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\n Robyn, data analyst.jpg<\/span> \n 132.82 KB<\/span>\n <\/figcaption>\n <\/figure><\/a>\n
\"Avant Le Wagon, j'ai travaill\u00e9 dans la finance pendant neuf ans. J'ai commenc\u00e9 en tant qu\u2019assistante en gestion de patrimoine et j'ai gravi les \u00e9chelons jusqu'\u00e0 devenir Conseill\u00e8re en Investissement. Apr\u00e8s avoir atteint cet objectif, j'ai rapidement compris que ce n'\u00e9tait pas la carri\u00e8re que je souhaitais poursuivre jusqu\u2019\u00e0 la fin de ma vie. J'ai rejoint le bootcamp en Data Science en janvier 2021 pour me reconvertir en tant que Data Analyst.\n
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Avant cela, j'avais postul\u00e9 \u00e0 un Master mais il me fallait une formation plus pouss\u00e9e en math\u00e9matiques ou en informatique pour y acc\u00e9der. Le bootcamp du Wagon s'est donc av\u00e9r\u00e9 \u00eatre une bonne solution pour moi. J'ai notamment choisi cette formation car elle est tr\u00e8s recommand\u00e9e et reconnue dans le monde entier. \n
M\u00eame si j'avais pour ambition de devenir Data Analyst, je trouvais int\u00e9ressant d'apprendre la Data Science car elle est un cran au-dessus en termes de complexit\u00e9 par rapport \u00e0 la Data Analytics. Je me suis aussi dit que \u00e7a allait certainement jouer en ma faveur pour obtenir le poste que je recherchais. Je voulais aussi apprendre Python, qui est une comp\u00e9tence indispensable dans l\u2019univers de la Data. \n
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Aujourd'hui, j'ai atteint mon objectif et travaille comme Data Analyst pour Psycho Bunny, une entreprise de v\u00eatements pour hommes fond\u00e9e \u00e0 New York et bas\u00e9e \u00e0 Montr\u00e9al. \n
\n Vous souhaitez en savoir plus sur l'exp\u00e9rience de Robyn ? D\u00e9couvrez cet <\/em>\n article<\/em><\/a>\n .
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\"Je m'appelle Kenza, j\u2019ai 27 ans et je suis Marocaine. Apr\u00e8s avoir obtenu mon dipl\u00f4me \u00e0 l\u2019universit\u00e9, j'ai d\u00e9m\u00e9nag\u00e9 \u00e0 New York pour poursuivre des \u00e9tudes d\u2019\u00e9conomie \u00e0 l'universit\u00e9 Fordham, en suivant un cursus en commerce et dans la mode. Pendant mon s\u00e9jour \u00e0 New York, j'ai travaill\u00e9 dans une start-up qui a \u00e9veill\u00e9 ma passion pour le code. \u00c0 mon retour au Maroc, j'ai rejoint l'entreprise familiale mais j'ai r\u00e9alis\u00e9 que ma v\u00e9ritable passion \u00e9tait le code et que c\u2019\u00e9tait dans cette direction que je souhaitais aller.\n
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Un ami m'avait parl\u00e9 du bootcamp du Wagon \u00e0 Londres et j'ai imm\u00e9diatement \u00e9t\u00e9 int\u00e9ress\u00e9e par la formation. J'ai obtenu mon dipl\u00f4me en Data Science en janvier 2021. Ce fut une exp\u00e9rience tr\u00e8s formatrice et centr\u00e9e sur les connaissances. Elle m'a donn\u00e9 les outils et le savoir-faire dont j'avais besoin pour d\u00e9velopper et \u00e9largir mes comp\u00e9tences. Tout ce que je recherchais.\n
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Apr\u00e8s avoir termin\u00e9 le programme, on m'a d'abord propos\u00e9 un poste de Professeure Assistante puis Professeure, ce que j'ai accept\u00e9 avec plaisir. Entre mes premiers pas au Wagon en tant qu'\u00e9tudiante puis plus tard en tant que Professeure, j'ai vraiment pu constater la nature inclusive du Wagon. Les formations sont r\u00e9ellement destin\u00e9es \u00e0 toutes les personnes qui souhaitent s'immerger dans le secteur de la Tech. C'est un environnement qui pousse chacun\u00b7e \u00e0 parfaire ses forces et \u00e0 travailler ses faiblesses. Les m\u00e9thodes d'enseignement sont dynamiques, l'esprit de travail est communautaire : l'aide vient vraiment de partout et de tout le monde !\n
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\n Mon conseil pour les femmes qui veulent entrer dans le secteur de la tech est de simplement le faire, car si c'est une passion, alors rien ne devrait vous emp\u00eacher d'atteindre vos objectifs et de faire vivre vos passions.\"

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Rejoignez vous aussi l'univers de la Tech. Inscrivez-vous gratuitement \u00e0 nos \u00e9v\u00e9nements #BreakTheBias<\/a> <\/h3>","_contenu_de_larticle":null,"titre_de_la_banniere":null,"_titre_de_la_banniere":null,"paragraphe_de_la_banniere":null,"_paragraphe_de_la_banniere":null,"intitule_du_bouton_de_la_banniere":null,"_intitule_du_bouton_de_la_banniere":null,"lien_du_bouton_de_la_banniere":null,"_lien_du_bouton_de_la_banniere":null,"yoast_head":"\nMeet 3 of our Data Science alumni #BreakTheBias | Le Wagon<\/title>\n<meta name=\"description\" content=\"Le Wagon se doit de faire conna\u00eetre les femmes qui contribuent actuellement aux avanc\u00e9es num\u00e9riques et technologiques dans le monde. C\u2019est notamment au travers de la repr\u00e9sentation de nos \u00e9tudiantes que nous participons \u00e0 la d\u00e9construction des st\u00e9r\u00e9otypes du monde de la Tech. 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