Haruka Inoba

Bis 2025, Data Engineer (Working Student), EWE TRADING GmbH
Bis 2025, M.Sc. Intelligent Adaptive Systems, Universität Hamburg
Hamburg, Deutschland

Fähigkeiten und Kenntnisse

Python
PyTorch
Machine Learning
CUDA
SQL
Git
Elasticsearch
Kibana
Data Analysis
Data visualisation
ELT process
Data Engineering
Time series analysis
Python NumPy
Python pandas
Apache Superset
Apache Pinot
Jira
PyCharm
Renewable energy market
Microsoft Office
Microsoft Visual Studio Code
Jupyter
REST API
React.js
JavaScript
Java
Neo4j
Docker
Python Flask
Acoustic Signal Processing
Agile Development
Microsoft Teams

Werdegang

Berufserfahrung von Haruka Inoba

  • 8 Monate, Aug. 2024 - März 2025

    Data Engineer (Working Student)

    EWE TRADING GmbH

    - Designed and implemented ELT pipeline for a web-based dashboard - Worked on more than 10K entries of time series data - Optimized SQL queries to retrieve data faster - Implemented modules to calculate KPIs - Created comprehensive documentation

  • 11 Monate, Dez. 2022 - Okt. 2023

    Data Engineer (Working student)

    Universität Hamburg

    - Worked on the small size of SQL data about the ancient Roman history - Designed and developed the ELT process to analyze the data in the Kibana dashboard and Neo4j (a graph database management system) - Visualized the data to provide insight and trends to researchers

Ausbildung von Haruka Inoba

  • 3 Jahre und 7 Monate, Sep. 2021 - März 2025

    M.Sc. Intelligent Adaptive Systems

    Universität Hamburg

    Small ML projects: - Saliency prediction Team project: - Empirical Research between Trustworthiness and robot's Voice in Human-computer interaction Master's thesis: - Compensation for Imbalanced In-the-wild Emotional Speech Dataset for Emotional Speech Synthesis - Implemented a network applying the data augmentation technique and Integrated the trained network into the Emotional Speech Synthesis model (Generative AI) -Conducted experiments, and analyzed results to derive key insights

  • 5 Jahre, Apr. 2015 - März 2020

    Information science

    Hiroshima City University

    Bachelor’s thesis: - Extraction of Car Interior Acoustic Features Related to Auditory Impression Using Artificial Intelligence - Role: Collecting results through experimental runs, analyzing and reporting findings to supervisors and researchers at the collaborating company, - Technologies used: MATLAB, machine learning techniques, and various preprocessing methods for data processing and analysis

Sprachen

  • Japanisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Gut

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