? Programming: Python (Proficient), SQL, Java, R
? Machine Learning: Supervised/Unsupervised Learning, Ne" /> ,,

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海外Python兼職程序員

ID：389730

May

高級(jí)技術(shù)咨詢

公司信息：
Capgemini Japan

工作經(jīng)驗(yàn)：
7年

兼職日薪：
700元/8小時(shí)

兼職時(shí)間：
可工作日遠(yuǎn)程

所在區(qū)域：
海外
全區(qū)

技術(shù)能力

SKILLS
? Programming: Python (Proficient), SQL, Java, R
? Machine Learning: Supervised/Unsupervised Learning, Neural Networks, Transformers, XGBoost,
Hyperparameter Tuning, Model Evaluation (AUC-ROC, F1-Score)
? Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Spark MLlib
? Tools: Docker, Git, AWS (SageMaker, Glue), Apache Spark, MATLAB, EEGLab
? Data Engineering: ETL, Data Pipelines, Time-Series Analysis, Signal Processing
? Languages: English (Fluent), Japanese (Business Proficiency), Chinese (Native)

項(xiàng)目經(jīng)驗(yàn)

PROJECTS
Cognitive Load & Emotion State Classification | Illinois Institute of Technology (Jan 2024 – Present)
? Built LSTM and CNN models using TensorFlow to classify cognitive states (e.g., attention, “Aha!
moments”) from multi-modal biosensor data (EEG, EDA, pupil response).
? Preprocessed EEG signals with ICA decomposition in EEGLab, removing noise and improving model
accuracy by 15%.
? Engineered time-series features (3s/5s windows) and trained XGBoost, SVM, and EEGNet
architectures, achieving 0.9 F1-score in emotion state classification.
PROFESSIONAL EXPERIENCE
Research Assistant | Illinois Institute of Technology, Chicago, IL (Jan 2024 – Present)
(See Projects section for details)
Senior Salesforce Developer | Salesforce-to-Financial System Integration | THS Inc., Tokyo (Jan 2018 –
Jun 2022)
? Led end-to-end development of 12 Salesforce pages using Apex, Visualforce, and SOQL, improving
user workflow efficiency by 25%.
? Automated data transactions between Salesforce and external systems by developing 20+ batch
processes in Apex, reducing manual effort by 30%.
? Designed unit test cases with 85% coverage, ensuring system reliability for financial operations.