
Amal Imangulov
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Amal Imangulov
Maintaining and reshaping McMakler data warehouse and analytics tools (Tableau, Python, Airflow, Astronomer, PGSQL, DBT, BigQuery, Snowflake) Providing clear communication to colleagues and creating transparency for data processes for a whole huge Berlin Start-up Constantly in a loop of closing the team's goals and dreams, making sure that work is compelling for the people I'm working with. Creating/hosting different events (offline and online)
- 1 Jahr und 4 Monate, Aug. 2018 - Nov. 2019
Data Scientist
Front-Tier
Reduced in a half losses of factoring department in top-10 Russian bank with a Flask app for interactive work with prediction model (Python, XGBoost, scikit-learn) Also: malfunctioning detection (retail; Spark, Jupyter Notebook), sales prediction (SQL MS, Python), web analysis (banking; scikit-learn, pandas), data engineering tasks (telco; Apache Airflow, PyCharm, Hadoop). Detection of equipment faults 75% faster with a model for Russian retail. Also: outlier detection (telco), visualization (Bokeh, SHAP).
Build web applications with face recognition (clusterization, neural network). Improved customer satisfaction by 10% (transport department of European city). Organized and managed hackathon w/ Gett: >3000+ participants in online stage, 100+ participants in the finale - created task, host final stage. +20% of problem customers’ ARPU —> 40 campaigns (telco) Automatized processes of loan decisions for top-10 Russian bank, creation of discounts and promotions for top-5 Russian supermarket chain.
C# application and Oracle database for Russian metal traders Interactive infographics in JavaScript (d3.js)
Ausbildung von Amal Imangulov
- 4 Jahre, Aug. 2012 - Juli 2016
Applied mathematics
National Research University – Higher School of Economics
Sprachen
Englisch
Fließend
Russisch
Muttersprache
Deutsch
Grundlagen
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