24.11.2024 aktualisiert


Premiumkunde
100 % verfügbarConsulant for statistics, data science and artificial intelligence
Frankfurt am Main, Deutschland
Weltweit
Ph.D. in empirical finance with data science and AI, Bachelor and master in mathematicsSkills
TrainingsdatenForschungAccounting ResearchErwachsenenbildungKünstliche IntelligenzData AnalysisAnalyse von FinanzdatenAngewandte ForschungKünstliche Neurale NetzwerkeAnlagenverwaltungBiostatistikMedizinische ForschungFinanzprognoseGeschäftsprozesseProzessoptimierung
As a co-founder and head of data science at Ainovate GmbH, I lead a team of data scientists and engineers who develop and implement AI solutions for various business problems. We have successfully delivered projects for clients in industries such as manufacturing, logistics, and healthcare, using machine learning, deep learning, and natural language processing techniques.
I am also the founder and CEO of Easy Statistik, a company that provides statistical consulting services for academic research and publications. I have helped numerous researchers and students with their data analysis, modeling, and visualization needs, using tools such as R, Python, and MATLAB. I have a strong background in mathematics and economics, with a master's degree in mathematics from Johann Wolfgang Goethe-Universität Frankfurt am Main and an external PhD in empirical finance from Technische Universität Darmstadt. I also completed a master's thesis on option pricing at Technische Universität Wien.
My core competencies include equity research, asset management, and financial services, which I gained from my experience as a research analyst and cooperative education student at Quoniam Asset Management, where I applied AI and machine learning to optimize portfolio strategies and risk management. I am passionate about learning new skills and technologies, and I am always looking for new challenges and opportunities to apply my expertise and contribute value to any organization. I am confident in my ability to communicate complex data and insights effectively and collaboratively, and to deliver high-quality results in a fast-paced and dynamic environment.
I am also the founder and CEO of Easy Statistik, a company that provides statistical consulting services for academic research and publications. I have helped numerous researchers and students with their data analysis, modeling, and visualization needs, using tools such as R, Python, and MATLAB. I have a strong background in mathematics and economics, with a master's degree in mathematics from Johann Wolfgang Goethe-Universität Frankfurt am Main and an external PhD in empirical finance from Technische Universität Darmstadt. I also completed a master's thesis on option pricing at Technische Universität Wien.
My core competencies include equity research, asset management, and financial services, which I gained from my experience as a research analyst and cooperative education student at Quoniam Asset Management, where I applied AI and machine learning to optimize portfolio strategies and risk management. I am passionate about learning new skills and technologies, and I am always looking for new challenges and opportunities to apply my expertise and contribute value to any organization. I am confident in my ability to communicate complex data and insights effectively and collaboratively, and to deliver high-quality results in a fast-paced and dynamic environment.
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
SERVICE PORTFOLIO
Data collection
Data collection
- Application Programming Interfaces (API)
- Simulations
- Survey concept and execution
- Best practice data preprocessing
- Feature engineering
- Data visualization (e.g. PowerBI)
- Data mining
- Data science
- Factor analysis
- Scientific hypothesis testing
- Statistical modeling
- Cluster analysis, shopping cart analysis and sales analysis for marketing and eCommerce
- Regression-, time series- and panel data analysis for empirical and economic research
- Survival time and efficacy analysis for medical research
- Risk modeling for the insurance and finance sector
- AI strategy consulting and development
- Supervised, unsupervised and reinforcement learning
- Deep learning
- Process optimization
- Predictive maintenance
- Recommender systems
- Predictive modeling
- Trend- and pattern recognition
- Time series forecasting
- Price forecasting and optimization
- Sales forecasting and optimization
- Liquidity forecasting
- Customer analyses as churn and demand forecasting
- Natural language processing (NLP)
- Computer vision
- Image recognition and detection
- AI Coaching 1:1
- AI Training
- Workshops