400万人が利用する会社訪問アプリ

Experienced System Engineer and Data Scientist adept at optimizing machine learning pipelines and computational resources. Skilled in automating tasks with Python, evaluating data engineering tools and technologies, and monitoring application performance. Recognized for developing robust forecasting models, implementing Explainable AI concepts, and designing interactive dashboards for real-time bu

この先やってみたいこと

未来

Seeking a role where I can apply my technical expertise and problem-solving skills to contribute to more exciting innovative solutions and projects.

AlpacaTech株式会社3年間

Data Scientist

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● Conducted thorough exploratory data analyses for robust model building. ● Created and implemented new forecasting models to increase company productivity.

System Engineer

● Optimized machine learning pipelines and computational resources deployment strategies resulting in reduced processing times. ● Automated repetitive tasks using scripting languages such as Python, saving time during the analytical process significantly.

AlpacaJapan株式会社の会社情報

AlpacaJapan株式会社3年間

Data Engineer

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● Implement, test, improve, and maintain the system component to retrieve and process data from other sources. ● Collaborated with system architects, design analysts, and others to understand business and industry requirements.

Data Scientist

● Expand self-knowledge to financial-related research. ● Satisfy the client by improving the performance of the financial model, and meaningful research reports.

Arblet Inc2年間

Data Scientist

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· Expand self-knowledge to new areas such as anatomy, medical-related, signal processing, time series analysis, and other related research. · Design and execute the experiments for multiple projects such as defining an objective,

総合研究大学院大学5年間

情報科学(博士)

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● Polylingual Topic Modeling for Scholarly Information Recommendation ● Latent Models for Movie Recommendation System

国立情報学研究所5年間

リサーチアシスタント(インターン)

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· Implement the text models and other well-known models for accuracy comparison for lab internal usage for academic papers publishing. · Perform iterative experiment process; hyperparameter optimization, result analysis, and model accuracy improvement.



言語

  • 英語 - ビジネス会話レベル
  • 日本語 - 日常会話レベル
  • タイ語 - ネイティブレベル

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