Amal Imangulov

Angestellt, Analytics Engineering Tech Lead, McMakler GmbH

Berlin, Deutschland

Über mich

Passionate Data Engineer and Data Lead

Fähigkeiten und Kenntnisse

Datenanalyse
Engineering
Data Warehouse
Tableau
Python
Airflow
Pgsql
Organizing
Mlops
Pipelines
Google Cloud Storage
Bigquery
BigQuery
Google Analytics
Orchestration
Infrastructure
Optimization
Prediction
Banking
Visualization
Web Applications
Neural Network
Customer Satisfaction
Consulting
Text Analysis
Social Networks
Infographics
JavaScript
Leading A Team
data translator
Reasoning
Data Science
Analytik

Werdegang

Berufserfahrung von Amal Imangulov

  • Bis heute 4 Jahre und 6 Monate, seit Jan. 2020

    Analytics Engineering Tech Lead

    McMakler GmbH

    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).

  • 2 Jahre, Sep. 2016 - Aug. 2018

    Data Scientist

    McKinsey & Company

    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.

  • 1 Jahr und 4 Monate, Juni 2015 - Sep. 2016

    Data Analyst

    Thomson Reuters

    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

Interessen

Data Science
machine learning
big data
selling buzzwords
”What? Where? When?”
postcomedy
post-modern

21 Mio. XING Mitglieder, von A bis Z