I will do econometrics with ai tools

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Finding Patterns in the Data

PhD in Statistics, econometrician, and data scientist with extensive experience in predictive modeling, data analytics, time series, panel data, financial risk, and machine learning/deep learning. I h...

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Über diesen Service

Hi,

I help analysts and decision-makers in the economic field turn data into reliable and accurate forecasts with causal interpretability. My work applies modern data science (XGBoost/LightGBM, LSTM, GRU, transformers, SHAP) and econometrics (ARIMA/SARIMAX, VAR/SVAR, GARCH, DiD/Synthetic Control, IV/GMM, panel FE/RE) along with solid feature engineering (missing data, outliers, reproducibility).


Typical Projects:

  • Macro/sector nowcasts and forecasts
  • Nowcast GDP/Inflation from official + alternative data (Google Trends, energy, mobility)
  • Policy/program Impact evaluation (DiD/SCM/Event Study) for grants, taxes, subsidies
  • Retail/sector demand forecasts with promotions/events/holidays
  • Price/volatility models for commodities/FX/equities (GARCH/MGARCH)
  • KPI dashboards
  • Text-as-data: sentiment & topic trends from reports/news


What you will receive:

  • Reproducible code (Python or R) with clear comments
  • Datasets & schema, tidy and documented
  • Figures & tables (forecast tracks, IRFs, counterfactuals, volatility plots, SHAP)
  • Metrics (MAPE/RMSE/AUC) or causal effects with confidence intervals
  • Short report (PDF/Markdown/Notebook) + handover notes

Expertise:

Feature-Lernen

Klassifizierung

Clustering

Programmiersprache:

Python

R

MATLAB

SQL

Colab

Frameworks:

scikit-learn

DeepPy

keras

PyTorch

Panda

APIs:

Microsoft Computer Vision AI

Google Cloud Vision API

Tools:

Jupyter-Notizbuch

OpenNN

tensorflow

Excel

Stata

Colab

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