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Originaire de Toulouse, Adriana s\u2019installe \u00e0 Paris pour ses \u00e9tudes en \u00e9cole de commerce, avant de rejoindre IBM Interactive en tant que Business Analyst.<\/strong> Dans le cadre de la gestion de projets clients, elle collabore \u00e9troitement avec les \u00e9quipes Data. Et si elle ma\u00eetrise parfaitement le versant Business, il lui manque les comp\u00e9tences pour saisir leurs enjeux techniques<\/strong>.\r\n\r\n<\/div>\r\n
Apr\u00e8s deux ans en poste, elle d\u00e9cide de creuser cet aspect de son m\u00e9tier, pour apporter encore plus de valeur \u00e0 ses clients. C\u2019est \u00e0 ce moment qu\u2019elle d\u00e9cide de se former \u00e0 la Data Science au Wagon Paris<\/strong>, pour apprendre les comp\u00e9tences qui rendront son profil encore plus attractif.<\/div>\r\n
\r\nDepuis la fin de sa formation, Adriana ma\u00eetrise toute la stack Data et les enjeux de l\u2019IA.<\/strong> Elle utilise ses nouvelles comp\u00e9tences au quotidien pour manager son \u00e9quipe de Data Scientists et Data Analysts. En seulement 9 semaines<\/strong>, elle a ouvert le scope de ses missions et acquis une parfaite compr\u00e9hension des enjeux de son \u00e9quipe Data.\r\n\r\nD\u00e9couvre son parcours, de son envie de se reconvertir \u00e0 aujourd\u2019hui !\r\n\r\n<\/div>\r\n

Qu'est-ce qui a pouss\u00e9 \u00e0 faire ta formation avec le Wagon ?<\/strong><\/h2>\r\n
<\/div>\r\n
Dans mon job au quotidien, j'\u00e9tais d\u00e9j\u00e0 entour\u00e9e d\u2019ing\u00e9nieur.e.s : Data Engineers, Data analysts et Data Scientists. De mon c\u00f4t\u00e9, j'avais un profil plut\u00f4t Business de cheffe de projet.<\/div>\r\n
<\/div>\r\n
Toute la partie technique m\u2019intriguait, mais me paraissait assez obscure et j'avais vraiment envie de mieux la comprendre. Apr\u00e8s deux ans chez IBM France, j\u2019ai r\u00e9alis\u00e9 que si je voulais faire ma carri\u00e8re dans la Data et \u00e9voluer dans ce secteur, il me faudrait d\u00e9velopper des comp\u00e9tences techniques pour compl\u00e9ter mon profil business. J\u2019avais envie de comprendre la partie technique de l\u2019IA, la \u00ab face cach\u00e9e de l\u2019iceberg \u00bb.\r\n\r\n<\/div>\r\n
Et comme je ne voulais pas quitter IBM, j\u2019ai cherch\u00e9 une formation courte et intense pour apprendre le maximum de choses en peu de temps. Le Wagon \u00e9tait la solution parfaite.\r\n\r\n<\/div>\r\n

Pourquoi tu as choisi Le Wagon ?<\/h2>\r\n
\r\nJe cherchais une formation \"hands-on\" en Data science, avec de la th\u00e9orie, mais surtout de la pratique. Et je connaissais l\u2019excellente r\u00e9putation du Wagon sur la formation D\u00e9veloppement Web<\/a> !<\/div>\r\n
<\/div>\r\n

\u00c7a fait combien de temps que tu pensais \u00e0 te former ?<\/strong><\/h2>\r\n
\r\nJ\u2019ai fait le Wagon en 2020. \u00c7a faisait six mois qu'il y avait le COVID. On s\u2019est tous pos\u00e9s beaucoup de questions pendant le confinement ! Le code a toujours \u00e9t\u00e9 un truc qui me paraissait assez myst\u00e9rieux : hyper int\u00e9ressant, mais super \u00e9loign\u00e9 de mes comp\u00e9tences. \u00c7a me paraissait \u00eatre un monde d'ing\u00e9nieurs et pourtant je baignais dedans tous les jours. La partie technique me paraissait hyper complexe.\r\n\r\n<\/div>\r\n
Et puis j\u2019ai crois\u00e9 un coll\u00e8gue qui \u00e9tait en train de faire de Wagon en Data Science et m\u2019a sugg\u00e9r\u00e9 de le faire. On avait le m\u00eame profil \u00e9cole de commerce. C\u2019est \u00e0 ce moment-l\u00e0 que je me suis dit que c\u2019\u00e9tait possible. Et c\u2019est justement \u00e7a que j'ai trouv\u00e9 au Wagon : une vraie d\u00e9mystification de la technique !\r\n\r\n<\/div>\r\n

Comment s\u2019est pass\u00e9e ta formation ?<\/strong><\/h2>\r\n
\r\n\u00c0 mon sens, le grand atout du Wagon est l\u2019excellence des professeurs et du contenu des cours, qui permettent de d\u00e9mystifier des concepts tr\u00e8s techniques. En 9 semaines, tu te mets dans la peau des principaux corps de m\u00e9tiers d\u2019une \u00e9quipe Data : 2 semaines en tant que Data Analyst, 3 semaines en tant que Data Scientist et 2 semaines de Data Engineering.\r\n\r\n<\/div>\r\n
Cela permet de d\u00e9velopper une vision \u00e0 360\u00b0 des diff\u00e9rents m\u00e9tiers et une excellente culture data.<\/div>\r\n
C\u00f4t\u00e9 ambiance, la promotion \u00e9tait tr\u00e8s soud\u00e9e : beaucoup de travail d\u2019\u00e9quipe et peu de comp\u00e9tition. L\u2019id\u00e9e, c'est d\u2019aider les autres quand on est en avance, et de pouvoir se faire aider les jours o\u00f9 on ressent plus de difficult\u00e9. La formation est courte et intense, mais on voit ses progr\u00e8s tous les jours et on noue des amiti\u00e9s et un r\u00e9seau \u00e0 vie.<\/div>\r\n
<\/div>\r\n

Quels changements tu as observ\u00e9 dans ta vie professionnelle apr\u00e8s ta formation ?<\/strong><\/h2>\r\n
\r\nProfessionnellement, le Wagon m\u2019a permis d\u2019acqu\u00e9rir des comp\u00e9tences techniques que je n'avais pas, tr\u00e8s rapidement. Je sais d\u00e9sormais communiquer avec mes \u00e9quipes techniques et je comprends ce qu\u2019ils font au quotidien.\r\n\r\n<\/div>\r\n
Sur le papier, mon job est le m\u00eame, mais dans les faits, tout a chang\u00e9. Mon r\u00f4le \u00e9tant au croisement entre les diff\u00e9rents m\u00e9tiers, mes comp\u00e9tences en Data me donnent toute la l\u00e9gitimit\u00e9 pour travailler avec eux et fluidifier aussi les \u00e9changes entre la technique et le business. Me former \u00e0 la Data Science a aussi \u00e9largi le scope de mes projets clients. Je peux dor\u00e9navant piloter et intervenir sur les projets Data de mes clients et faire le pont entre les enjeux business et techniques.\r\n\r\n<\/div>\r\n
Avant ma formation, j'\u00e9tais plus \"dans\" l'\u00e9quipe qu'\u00e0 la t\u00eate de l'\u00e9quipe. Sur mes projets, je suis toujours en bin\u00f4me avec un.e lead Tech senior. Comme j'avais moins de compr\u00e9hension technique, je laissais donc beaucoup plus les \u00e9quipes leader les projets. Aujourd\u2019hui, on est dans une relation d'\u00e9gal \u00e0 \u00e9gal et on se compl\u00e8te vraiment. Je participe beaucoup plus aux d\u00e9bats avec les \u00e9quipes techniques et je peux aussi proposer des choses, challengers mes \u00e9quipes et mes clients.<\/div>\r\n
<\/div>\r\n

Quelles sont tes missions au quotidien chez IBM Interactive ?<\/h2>\r\n
\r\nMon travail est d\u2019aider un client \u00e0 mettre en \u0153uvre une strat\u00e9gie Data ou IA au<\/div>\r\n
sein de son entreprise. Pour cela, je r\u00e9alise des ateliers de d\u00e9tection de use case, je m\u00e8ne des<\/div>\r\n
ateliers de cadrage, et je pilote des projets jusqu\u2019\u00e0 la mise en production. Concr\u00e8tement, je vais donc aider le client \u00e0 voir quels sont ses besoins les plus prioritaires, choisir les solutions Data et\/ou IA les plus adapt\u00e9es \u00e0 son besoin, et manager l\u2019\u00e9quipe en charge de d\u00e9livrer la solution.<\/div>\r\n
\uf0b7<\/div>\r\n
Par exemple, j\u2019ai travaill\u00e9 sur plusieurs secteurs (beaut\u00e9, banque \/ assurance, t\u00e9l\u00e9com, luxe...) et sur plusieurs types de solutions (IBM Watson, Google, Cloud Platform, des algorithmes Open Source...).\r\n\r\n<\/div>\r\n

Quelles sont les 3 choses que tu pr\u00e9f\u00e8res dans ton job actuel ?<\/h2>\r\n
<\/div>\r\n
    \r\n \t
  • L\u2019\u00e9volution perp\u00e9tuelle : chaque nouvelle mission me permet de d\u00e9couvrir de nouveaux clients, challenges, secteurs, algorithmes...<\/li>\r\n<\/ul>\r\n
    \uf0b7<\/div>\r\n
      \r\n \t
    • L\u2019impact : on apporte des solutions tr\u00e8s concr\u00e8tes et qui fonctionnent \u00e0 des probl\u00e9matiques client.<\/li>\r\n<\/ul>\r\n
      \uf0b7<\/div>\r\n
        \r\n \t
      • Travailler dans la Data : je trouve ce domaine passionnant, cela concerne tous les secteurs, \u00e7a \u00e9volue rapidement.<\/li>\r\n<\/ul>\r\n
        <\/div>\r\n

        Quels conseils donnerais-tu aux personnes qui cherchent \u00e0 faire une transition vers des postes en IA ou en Data ?<\/strong><\/h2>\r\n
        \r\nIl faut foncer ! On a tous peur en se lan\u00e7ant dans l\u2019inconnu, mais il n\u2019y a rien de plus gratifiant que de r\u00e9ussir \u00e0 se d\u00e9passer.\r\n\r\nCe secteur est passionnant, et relativement r\u00e9cent, donc il y a encore tout \u00e0 apprendre et \u00e0 faire. Comme disait Clive Robert Humby, le math\u00e9maticien et entrepreneur anglais \u201cData is the new oil\u201d...<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>","_contenu_de_larticle":"field_6412588b55814","titre_de_la_banniere":"","_titre_de_la_banniere":"field_6422eb732c237","paragraphe_de_la_banniere":"","_paragraphe_de_la_banniere":"field_6422ed834a968","intitule_du_bouton_de_la_banniere":"","_intitule_du_bouton_de_la_banniere":"field_6422ed934a969","lien_du_bouton_de_la_banniere":"","_lien_du_bouton_de_la_banniere":"field_6422eda54a96a","yoast_head":"\n"Aujourd'hui, je g\u00e8re une \u00e9quipe Data chez un leader de la Tech" | Le Wagon<\/title>\n<meta name=\"description\" content=\"Apr\u00e8s un parcours en \u00e9cole de commerce, Adriana a boost\u00e9 sa carri\u00e8re dans la Data gr\u00e2ce au bootcamp Data Science, en seulement 9 semaines !\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.lewagon.com\/fr\/graduate-stories\/adriana-ibm-interactive\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\""Aujourd'hui, je g\u00e8re une \u00e9quipe Data chez un leader de la Tech" | Le Wagon\" \/>\n<meta property=\"og:description\" content=\"Apr\u00e8s un parcours en \u00e9cole de commerce, Adriana a boost\u00e9 sa carri\u00e8re dans la Data gr\u00e2ce au bootcamp Data Science, en seulement 9 semaines !\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.lewagon.com\/fr\/graduate-stories\/adriana-ibm-interactive\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog Le Wagon\" \/>\n<meta property=\"article:published_time\" content=\"2023-01-15T23:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-07-10T15:20:06+00:00\" \/>\n<meta property=\"og:image\" 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