Aman Abdullayev, Developer in Berlin, Germany
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Aman Abdullayev

Data Science Developer

Berlin, Germany

Toptal member since January 22, 2026

Bio

Aman is a data scientist based in Berlin with a background in environmental science, materials science, and data science. He enjoys turning complex problems into clear, actionable insights. Over the past several years, he’s focused on marketing analytics, working hands-on with attribution models, marketing mix modeling (MMM), time series forecasting, geo (incrementality) experiments, and customer lifetime value modeling.

Portfolio

Zalando SE
Time Series Forecasting, Data Scientist, Marketing Attribution...
Haensel AMS GmbH
PyMC, Marketing Mix Modeling, Multi-touch Attribution, Incrementality Testing...
One Data
Spark, SQL, Python 3, Forecasting, Data Science

Experience

  • Python 3 - 8 years
  • SQL - 6 years
  • Time Series Forecasting - 5 years
  • Marketing Mix Modeling - 4 years
  • Bayesian Statistics - 4 years
  • Incrementality Testing - 4 years
  • Attribution Modeling - 4 years
  • Causal Modeling - 4 years

Preferred Environment

Python 3, SQL, Jupyter Notebook, Databricks, Snowflake, GitHub, Spark, BigQuery

The most amazing...

...thing I've developed is a Bayesian MMM model from scratch using the probabilistic programming package PyMC.

Work Experience

Applied Scientist

2025 - PRESENT
Zalando SE
  • Developed a framework to model the long-term (1-2 years) effect of marketing activities using proxy metrics happening today.
  • Built a sophisticated time series forecasting model to predict marketing spend and expected revenue with that level of spend.
  • Developed an attribution model that challenged the status quo attribution model with high accuracy and simplified steering capabilities.
Technologies: Time Series Forecasting, Data Scientist, Marketing Attribution, Marketing Analytics, A/B Testing, Forecasting, Data Science, Multi-touch Attribution, Incrementality Testing, Attribution Modeling, Causal Modeling

Senior Data Scientist

2023 - 2025
Haensel AMS GmbH
  • Led the development of the MMM model from scratch using probabilistic approaches with the PyMC package.
  • Developed forecasting and customer lifetime value models per the client's requests.
  • Calibrated both attribution and MMM models using geo experiment results.
Technologies: PyMC, Marketing Mix Modeling, Multi-touch Attribution, Incrementality Testing, A/B Testing, Forecasting, Attribution Modeling, Causal Modeling, Time Series Forecasting

Data Science Support Engineer

2021 - 2023
One Data
  • Supported data science teams in building and deploying models.
  • Built dashboards and web apps on the One Data Platform.
  • Automated pipeline monitoring with APIs and Slack notifications.
  • Maintained analytics projects for supply chain and purchasing teams.
Technologies: Spark, SQL, Python 3, Forecasting, Data Science

Experience

Personal Showcasing Website

https://amanabdullayev.me/
Please check my personal website where you can find more information projects I am working, detailed experience I have (including publications, patent etc) and different ways of exploring my internet existence (Github, LinkedIn and so on).

Education

2017 - 2021

PhD in Materials Science

Technische Universität Berlin - Berlin

2009 - 2014

Diploma in Environmental Science

Magtymguly Turkmen State University - Ashgabat

Certifications

OCTOBER 2021 - PRESENT

Data Scientist Professional Training

Yandex

Skills

Libraries/APIs

PyMC

Tools

GitHub, BigQuery

Languages

Python 3, SQL, Snowflake, Python

Frameworks

Spark

Platforms

Jupyter Notebook, Databricks

Other

Time Series Forecasting, Attribution Modeling, Marketing Mix Modeling, Incrementality Testing, Forecasting, Data Science, Causal Modeling, Bayesian Statistics, A/B Testing, Literature Research, Materials Synthesis, Characterization, Analysis of Data, Writing Paper, Statistics, Multi-touch Attribution, Machine Language, Data Analysis, MTA, Blogging, Data Scientist, Marketing Attribution, Marketing Analytics

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