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Tu \u00e9tais Data Analyst, pourquoi as-tu d\u00e9cid\u00e9 de faire le bootcamp en Data Science du Wagon ? <\/h3>
En effet, j\u2019\u00e9tais Data Analyste pendant presque 2 ans chez Axa dans le cadre d\u2019un contrat pro en alternance. J\u2019avais choisi cette alternance sans vraiment connaitre le secteur et encore moins le domaine de la Data Science.

Je travaillais dans l\u2019assurance sant\u00e9 individuelle et collective. Mon r\u00f4le \u00e9tait de proposer des solutions industrielles efficaces et adapt\u00e9es pour r\u00e9pondre \u00e0 des questions m\u00e9tiers (marketing, fraude, souscripteurs etc). <\/strong>Concr\u00e8tement, je devais effectuer des requ\u00eates avec le langage de programmation SAS des diff\u00e9rentes demandes d\u2019\u00e9volutions et r\u00e9aliser les sp\u00e9cifications techniques et fonctionnelles.<\/strong> La restitution des r\u00e9sultats se faisait sous Excel.
Rasha et ses buddies lors du demoday en Data Science.<\/figcaption><\/figure><\/a>
Les missions ne m\u2019ont donc pas permise de programmer en python, d\u2019appliquer des mod\u00e8les simples de Machine Learning ou encore de faire de la Data visualisation avec les outils demand\u00e9s dans les offres d\u2019emploi comme Tableau ou Power BI. <\/strong>J\u2019ai donc eu beaucoup de mal \u00e0 trouver un job apr\u00e8s cette exp\u00e9rience car je cherchais un CDI en tant que Data Analyste junior. D\u2019autre part, je ne voulais pas forc\u00e9ment rester dans le secteur des assurances alors que le language SAS est surtout demand\u00e9 dans ce genre d\u2019entreprise.

J\u2019ai d\u00e9couvert Le Wagon gr\u00e2ce \u00e0 une amie car elle avait ador\u00e9 une des journ\u00e9es d\u2019introduction \u00e0 la Data Science : <\/strong>le Women Data Day.<\/em><\/strong> <\/em>J\u2019ai donc d\u00e9cid\u00e9 de sauter le pas et de rejoindre Le Wagon pour mieux comprendre les enjeux de la Data Science et me former techniquement \u00e0 ce m\u00e9tier

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Que penses-tu du programme en Data Science ?<\/h3>
Le programme est tr\u00e8s intense, c\u2019est vraiment un rythme auquel je n\u2019\u00e9tais plus habitu\u00e9e depuis ma licence en maths appliqu\u00e9s. Je suis contente de l\u2019avoir fait car j\u2019utilise les comp\u00e9tences acquises et des outils comme Jupyter Notebook au quotidien dans mon travail.<\/strong><\/div>

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 \"Si vous \u00eates en reconversion, il faut mettre en avant sa double comp\u00e9tence. Un double parcours est une vraie valeur ajout\u00e9e qui permet d\u2019avoir une v\u00e9ritable capacit\u00e9 d\u2019adaptation !\"<\/blockquote>


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Apr\u00e8s la formation tu as d\u00e9croch\u00e9 le poste de Data Scientist chez Total, comment s\u2019est pass\u00e9 ton processus de recrutement ? <\/h3>
Je suis tomb\u00e9 sur Linkedin sur l\u2019annonce que ma manager (Responsable en Data Management) avait publi\u00e9 sur Linkedin. Comme les missions indiqu\u00e9es \u00e9taient relatives au Data Management et \u00e0 la Data Analyste, je me suis permise de la contacter en expliquant que j'\u00e9tais intrigu\u00e9 par l\u2019annonce car j\u2019ai un Master Sp\u00e9cialis\u00e9 en Data Management et je pense aussi que mes 9 semaines de bootcamp au Wagon ont aussi fait la diff\u00e9rence !<\/strong>

<\/div>
\"Ne vous d\u00e9couragez jamais, n\u2019h\u00e9sitez pas \u00e0 demander des feedbacks lors d\u2019un refus et lancez-vous ! J\u2019ai eu beaucoup de retour de la part de recruteurs sur Welcome To The Jungle gr\u00e2ce \u00e0 la notori\u00e9t\u00e9 du Wagon !\"<\/blockquote>

J\u2019ai ensuite eu un entretien RH, puis un entretien avec ma manager et un coll\u00e8gue. On m\u2019a demand\u00e9 de pr\u00e9senter mon parcours scolaire et professionnel, puis on m\u2019a pos\u00e9 quelques questions techniques (mais pas trop !). Par exemple : quels Data visualisation savez-vous faire ? sur quels outils ? Comment assurer la fiabilit\u00e9 des donn\u00e9es ? D\u00e9finissez le terme Data literacy et donnez un exemple de mission relative ?

Au final, j\u2019ai eu un dernier entretien avec ma manager, puis elle m\u2019a retenue car elle trouvait que bien que je n\u2019\u00e9tais pas la candidate la plus technique, j\u2019\u00e9tais la la plus motiv\u00e9e.<\/strong> Je pense aussi que mes 9 semaines de bootcamp au Wagon ont aussi fait la diff\u00e9rence ! <\/div>


<\/div>

Quels sont tes missions d\u00e9sormais en tant que Data Scientist et en quoi les comp\u00e9tences acquises au Wagon te sont utile au quotidien dans tes missions ?<\/h3>
Les comp\u00e9tences acquises lors du bootcamp me permettent d\u2019\u00eatre plus rigoureuse dans mes missions, <\/strong>d\u2019\u00e9tablir des plans d\u2019action et d\u2019avoir un regard plus technique <\/strong>lorsque je dois utiliser python ou encore des scripts SQL pour tester un nouvel outil en interne.<\/div>

Je travaille dans une \u00e9quipe de Data Management de au sein de la branche EP (exploitation p\u00e9troli\u00e8re). Ma premi\u00e8re mission est de tester un outil de Data management qui servira pour toutes les \u00e9quipes m\u00e9tier du groupe Total. Pour v\u00e9rifier mes tests, je me sers de python et je manipule des s\u00e9ries temporelles.<\/strong><\/div>

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Quels conseils donnerais-tu aux personnes qui n'osent pas se lancer?<\/h3>
Je ne suis pas le meilleur exemple de confiance en soi. Mais il faut se dire que tout le monde commence par un job junior ! <\/strong>Si c\u2019est un premier emploi, il faut mettre en avant ses formations et si c\u2019est une \u201creconversion\u201d, il faut mettre en avant sa double comp\u00e9tence. Un double parcours est une vraie valeur ajout\u00e9e qui permet d\u2019avoir une v\u00e9ritable capacit\u00e9 d\u2019adaptation !

Ne vous d\u00e9couragez jamais, n\u2019h\u00e9sitez pas \u00e0 demander des feedbacks lors d\u2019un refus et lancez-vous ! <\/strong>J\u2019ai eu beaucoup de retour de la part de recruteurs sur Welcome To The Jungle gr\u00e2ce \u00e0 la notori\u00e9t\u00e9 du Wagon !<\/div>","_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":"\nRasha, 9 semaines pour devenir Data Scientist. | Le Wagon<\/title>\n<meta name=\"description\" content=\"Apr\u00e8s avoir d\u00e9couvert les m\u00e9tiers de la data lors de ses \u00e9tudes, Rasha ressent le besoin d\u2019aller plus loin et d\u00e9cide de rejoindre les bancs du Wagon en Data Science. Retour sur 9 semaines de bootcamp : de Python au Machine Learning, Rasha a d\u00e9velopp\u00e9 toutes les comp\u00e9tences n\u00e9cessaires pour acc\u00e9l\u00e9rer sa carri\u00e8re.\" \/>\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\/rasha\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Rasha, 9 semaines pour devenir Data Scientist. | Le Wagon\" \/>\n<meta property=\"og:description\" content=\"Apr\u00e8s avoir d\u00e9couvert les m\u00e9tiers de la data lors de ses \u00e9tudes, Rasha ressent le besoin d\u2019aller plus loin et d\u00e9cide de rejoindre les bancs du Wagon en Data Science. 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