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Petroleum Engineer To Data Scientist
Manage episode 327619760 series 3286772
Contenu fourni par Codebasics. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Codebasics ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Pradyumna was a doing M tech in petroleum engineering and in the second year of m tech he came to know about data science and machine learning. Immediately that sparked a deep interest in him and he started learning data science and machine learning skills online mainly through youtube. After that he was able to crack an interview in Halliburton which is USA based petroleum company. He is working there as a data scientist and in this conversation he will shared some interesting tips for anyone who want to transition from a different domain to data science.
Pradyumna's linkedin: https://www.linkedin.com/in/pradyumnasingh/
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Partager
Manage episode 327619760 series 3286772
Contenu fourni par Codebasics. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Codebasics ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Pradyumna was a doing M tech in petroleum engineering and in the second year of m tech he came to know about data science and machine learning. Immediately that sparked a deep interest in him and he started learning data science and machine learning skills online mainly through youtube. After that he was able to crack an interview in Halliburton which is USA based petroleum company. He is working there as a data scientist and in this conversation he will shared some interesting tips for anyone who want to transition from a different domain to data science.
Pradyumna's linkedin: https://www.linkedin.com/in/pradyumnasingh/
40 episodes
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