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amanabdullayev/README.md

Hello, folks!

I’m Aman Abdullayev — a data scientist in Berlin with a strong focus on marketing analytics.

I work on problems like customer lifetime value, churn prediction, end-of-month forecasting, multi-touch attribution, and uplift modeling. I'm into data-driven decision making and love turning messy marketing data into clear business insight.

If you’re into marketing analytics or experimenting with cool probabilistic models, let’s talk!

Let’s connect on LinkedIn.
Check out my academic side on Google Scholar.
I'm also on Kaggle — always up for a challenge.

Featured Projects

(upd. 30.08.2022)

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  1. amanabdullayev amanabdullayev Public

    1 1

  2. telecom_customer_churn_prediction telecom_customer_churn_prediction Public

    Prediction of customers, who are most likely to leave the telecom operator soon.

    Jupyter Notebook 1

  3. DataCamp DataCamp Public

    Jupyter Notebook 1

  4. Yandex_Practicum Yandex_Practicum Public

    Collection of 12 educational real-world projects completed during my Practicum by Yandex Data Scientist Bootcamp. All of them have been assessed by professional DS.

    Jupyter Notebook

  5. Video_game_sale Video_game_sale Public

    Analysis of historical video games sales data around the globe and preparation of suggestions for a campaign.

    Jupyter Notebook

  6. gold_extraction_prediction gold_extraction_prediction Public

    Optimization of gold production by eliminating unprofitable parameters using different ML algorithms.

    Jupyter Notebook