プロフィール詳細

プロジェクトを作成

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Mathis J.に依頼

Netherlands

Doctoral Candidate (MSCA) in AI & Finance | ML Modeling, Forecasting, & Research Consulting

プロフィール概要

I am an MSCA-funded Doctoral Candidate in Digital Finance at the University of Twente (Netherlands), where I focus on the application of Reinforcement Learning and Machine Learning in financial decision-making. My research explores the theoretical and practical challenges of algorithmic modeling in complex, low-predictability environments. I hold a Master of Science in Data Science and have two years of professional experience in a data science team at a large multinational corporation, where I led machine learning projects across multiple departments. This background enables me to bridge the gap between academic rigor and industry implementation, offering solutions that are both theoretically sound and practically actionable. My technical skill set includes: - Reinforcement Learning (RL) & Sequential Decision-Making - Supervised and Unsupervised Machine Learning including Deep Learning (Scikit-learn, PyTorch, TensorFlow) - Research Writing, Reporting & Reproducibility I’ve contributed to multiple research projects involving: - Benchmarking RL agents on synthetic and financial time series - Development of configurable time series generators for simulation environments - Academic writing (literature reviews, hypothesis papers, method development) Whether you need a predictive model, research-grade analysis, or a clear technical report, I can deliver high-quality results that combine statistical depth, domain insight, and clean communication.

専門分野

• ☆ Data Analysis
• ☆ Social Network Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Financial Modeling
• ☆ Statistical Finance
• ☆ Mathematical Finance

サービス

• Research
• Consulting
• Data & AI

Research Feasibility Study, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Doctoral Candidate

University of Twente

9月 2024 - 現在

Business Analyst ( Data Science)

MANN und HUMMEL

9月 2021 - 12月 2023

学歴

Masters of Science

Westfälische Wilhelms-Universität Münster - Germany

11月 2022 - 8月 2024

認定資格

• 認定資格の詳細は未入力です。