Antonio Gottschalg Email & Phone Number

Berlin, De

Berlin, Germany

Data Scientist in the Subpractice AI & Analytics & Data Science within Insights & Data Germany

Berlin, Deutschland

Driving the topic of causal inference and causal machine learning.National Food Retailer (Supply Chain Optimization)- Developed an end-to-end ML solution for a major international food retailer, resulting in a significant EBIT increase. Technologies used: Python, PySpark, MLlib, scikit-learn, MLflow, Databricks, Azure, Boosted trees.OEM Commercial Vehicles (Intelligent Vehicle Configuration)- Created a ML-based PoC for automatic vehicle configuration for a large OEM, demonstrating feasibility and business value. Technologies used: Python, AWS, PySpark, Plotly, Amazon Quicksight, Kernel-Machines, Clustering

Berlin, Deutschland

Course: Empirical Economic Research and Introductory EconometricsContents: Causal Effect Estimation in the Potential Outcomes Framework, (Multiple) Linear Regression Model; Inference in Linear Models; Implementation using GNU R

Berlin, Deutschland

Berlin, Deutschland

Workgroup: Time-policy; Department: StateAssistance in development and implementation of causal models (Potential Outcomes framework) using the SOEP panel data set to estimate causal effects induced by time time policies, such as the reduction of retirement age.Exemplary papers: - K. Müller, B. Fischer (2020) - Time to care? The effects of retirement on informal care provision- K. Müller, C. Samtleben (2022) - Care and careers: Gender (in)equality in unpaid care, housework and employment

Master Of Science - Ms, Statistics, 1,7

Specialization: Statistical Inference & Data Science More information about the masters program: stat.de Abstract Master Thesis: We.

Bachelor Of Arts - Ba, Economics, 1,8

Activities and Societies: Ehrenamtlich: Berliner Börsenkreis e.V. Stellv. Vorstandsvorsitzender