Melody Nguyen
ボロレ・ロジスティクス・ジャパン株式会社 / AP/AR AccountantTokyo
400万人が利用する会社訪問アプリ
Melody Nguyen
ボロレ・ロジスティクス・ジャパン株式会社 / AP/AR Accountant
Embrace Joy, Live Your Fullest Life
こんにちは、私はメロディです。ベトナム出身ですが、日本とは深い繋がりがあり、ほぼ14年間の生活をここで過ごしました。2009年に立命館アジア太平洋大学（別府市大分県に位置）に入学し、日本での旅が始まりました。別府市の魅力は非常に強力で、卒業後もここに滞在することを決意しました。大学時代、Wancher Inc.でのセールスマネージャーとして働き、日本の筆記具をオンラインで販売するネットストアを管理するマーケティングチームを率いました。
この先やってみたいこと
未来
My ambition is driven by a deep desire to harness my extensive knowledge and experience in accounting and business, combined with my newfound expertise in data science, to make a meaningful contribution to the world. I firmly believe that the fusion of these diverse skill sets can pave the way for innovative solutions to complex challenge
ボロレ・ロジスティクス・ジャパン株式会社4年間
AP/AR Accountant現在
- 現在
- Managing accounts receivables and payables for the Japanese branch, collaborating with 50+ Bollore group companies and 20+ external agents. - Overseeing approximately $3 million USD in payables and around 100,000,000 yen in receivables monthly
Le Wagon Tokyo1年間
Data Science Teaching Assistant（副業）現在
- 現在
- Provided hands-on guidance in a Data Science & AI bootcamp, with a focus on machine learning and deep learning techniques - Assisted in a specialized Data Analytics bootcamp tailored for Coca-Cola Bottlers Japan. The program concentrated on practical data analytics applications, mirroring real-world e-commerce challenges
Le Wagon Tokyo3ヶ月
Data Science
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9 weeks full-time intensive data science bootcamp Learned and used Python, SQL, Spicy, Statsmodel, Scikit-learn, TensorFlow, Google Cloud Platform, ML Flow, Docker, Streamlit, Git, and Github
- Siesta Sentry - Final Project
[Project Overview] Project Name: Siesta Sentry Bootcamp: Le Wagon Tokyo Team: 4 people [Description] Siesta Sentry is our crowning achievement from the Le Wagon Tokyo data science bootcamp. 🚀 Our goal? To develop a cutting-edge model capable of detecting drowsiness in individuals captured on camera. 😴📸 [My Role] As a dedicated team member, my role revolved around two crucial aspects: Data Processing: Meticulously preparing the data for our model, ensuring its accuracy and quality. YOLOv8 Model Training: I played a pivotal role in training the YOLOv8 model, fine-tuning it for precise drowsiness detection. 💡 App deployment: I also contributed in deploying an app on streamlit [Deployment] Our collective efforts culminated in a user-friendly application hosted on Streamlit. 🌐 This application showcases the power of our drowsiness detection model, ready to make a real-world impact. 🌟 Join us on this exciting journey as we use data to enhance safety and well-being. Siesta Sentry is more than a project; it's a step toward a safer world. 💪📊
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Wancher Inc.7年間
Sales Marketing & Marketing Team Lead
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立命館アジア太平洋大学, Ritsumeikan Asia Pacific University5年間
国際経営学部・国際経営学科
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