Open to opportunities

Armin Motahar

@arminmotahar

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Data scientist and economist transforming complex data into actionable, ML-driven business insights.

Germany

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What I'm looking for

I seek a role applying ML and econometric expertise to solve strategic problems, with opportunities for research-driven impact, cross-functional collaboration, and measurable business outcomes.

I am a data scientist and economist with a PhD in Economics and an MBA, combining rigorous quantitative methods and machine learning to drive measurable business impact. I have published peer-reviewed papers, led large-scale data integration and preprocessing efforts, and built forecasting, clustering, and feature-importance models that inform strategic decisions.

My industry experience includes developing recommendation and search-ranking models that boosted CTR and conversions, creating automated A/B testing and real-time KPI dashboards, and delivering forecasting and scenario-analysis tools that improved resource allocation and profitability. I bring a reproducible, results-oriented approach and a track record of translating research-grade methods into production-ready analytics that move KPIs.

Experience

Work history, roles, and key accomplishments

Graduate Research Assistant

University of Duisburg-Essen

Oct 2020 - Jan 2025 (4 years 3 months)

Conducted advanced machine learning analyses on large-scale inequality datasets, built reproducible preprocessing pipelines, and published four peer-reviewed papers assessing impacts on growth and inequality.

Machine Learning data preprocessing Forecasting Python R

Data Scientist

Divar

Apr 2018 - Aug 2019 (1 year 4 months)

Built and optimized ad recommendation and search-ranking models that increased CTR by 18% and conversion to contact by 12%, and developed automated A/B testing pipelines and BI dashboards for real-time KPI monitoring.

Recommendation Systems A B Testing CTR Optimization Dashboards KPIs SQL Python Experimentation

Business Analyst Intern

Kion Group AG

Sep 2017 - Feb 2018 (5 months)

Designed and solved a headquarters cost-allocation model for shared services using activity drivers and game-theory methods to support global resource allocation decisions.

Cost Allocation Activity Based Costing Game Theory Excel

Data Analyst

Abkavosh Sarzamin Consulting Engineers

Aug 2014 - Jul 2016 (1 year 11 months)

Delivered statistical forecasting and scenario-analysis tools for executives and clients, providing data-driven planning and resource-allocation insights that improved profitability and planning accuracy.

Forecasting Statistical Modeling Data Visualization SQL R Time Series

Education

Degrees, certifications, and relevant coursework

University of Duisburg-Essen

PhD in Economics, Economics

2019 - 2025

Activities and societies: Graduate Research Assistant; published four papers in international peer-reviewed journals; doctoral fellowships (Naumann Stiftung, DAAD STIBET).

PhD in Economics with a dissertation titled 'A Machine Learning Approach to the Impact of Inequality on Growth' completed while serving as Graduate Research Assistant at the Chair of Microeconomics.

Hochschule Esslingen

Master of Business Administration, Business Administration

2016 - 2018

Activities and societies: Master thesis: 'Ways of Cost Allocation at International Matrix Organizations'; 3rd place in nationwide Master mathematics competition.

Master of Business Administration with a thesis on cost allocation in international matrix organizations, completed with a nationwide competition placement.