Alexandra Dubrova

Angestellt, E-Learning Tutor, NerdyMushroom
Bis 2025, Data Science, Universität Trier
Trier, Deutschland

Fähigkeiten und Kenntnisse

Python
R
Tableau
Mathematics
Statistics
Data Analytics
Java
Data Science
Analytics
Database
Computer Science
Python Programming
Mathematical Optimization
High-performance Computing
Natural Language Processing (NLP)
Analysis
Data Analysis
TensorFlow
Big Data
Data Mining
Machine Learning
Statistical Analysis
Optimization Algorithms
Data Visualization
Data Modeling
Numerical Optimization
Mathematical Modeling
Data Manipulation
SQL
MySQL
NumPy
Python pandas
BERT
PyTorch
Stakeholder Analysis
Tutoring
Mentoring
RStudio
PyCharm
Optimization
Big Data Analysis
Pandas
LaTeX
WordPress
Versatility
Rapid Learning
Problem Solving
Time Management
Intercultural Communication
Adaptability
Communication Skills
Intercultural Competence
Precision & Reliability
Teamwork
Analytical Thinking

Werdegang

Berufserfahrung von Alexandra Dubrova

  • Bis heute 7 Jahre und 11 Monate, seit Feb. 2018

    E-Learning Tutor

    NerdyMushroom

    Providing mathematics and statistics tutoring to high-school and university students across various levels and curricula. Achieved an all-time rating of 5.0 from over 1,000 student reviews and supported 2,000+ clients from 100+ universities worldwide.

  • 3 Jahre, Okt. 2022 - Sep. 2025

    Master’s Degree in Data Science

    Trier University

    Master Thesis – Optimization Algorithms • PADM algorithms for bilevel optimization (Supply Chain). • A toll optimization test scenario (4,200 instances), solution outperformed Gurobi (speed/memory usage). • Student Assistant: mentored 150+ students. Research Project – NLP Sentiment Model • Engineered a sentiment model (outperformed standard methods by 1.5% in accuracy). • A scalable pipeline (Pandas/NumPy) to process 80k+ reviews. • Math analysis of Optimal Transport algorithms (Sinkhorn, Greenkhorn).

  • 1 Jahr und 1 Monat, Sep. 2021 - Sep. 2022

    Professional Development

    Self-employed

    • Participated in workshops organized by leading companies and universities (including EY and Google) focused on Data, ML, and Analytics with expert talks, team-based case studies, light coding, and group presentations. • Completed an intensive German course and achieved B1 proficiency level.

  • 2 Jahre und 11 Monate, Okt. 2018 - Aug. 2021

    Bachelor’s Degree in Mathematics and Economics (with First Class Honors)

    University of London

    Coursework 1: Performance Analysis on the Global Market • Analyzed global sales data (APAC, EU, Africa, LATAM, USA). • Built 5 interactive Tableau dashboards. • Identified pricing inefficiencies in APAC/Africa, optimizing discount strategy. Coursework 2: Statistical Modeling for Segmentation, Prediction & Optimization • Performed customer segmentation via PCA & K-means. • Engineered predictive models (Lasso/Ridge) achieving RMSE 2.69. • Delivered a GLM bank model (90% accuracy) & validated via 10-fold CV.

Ausbildung von Alexandra Dubrova

  • 3 Jahre, Okt. 2022 - Sep. 2025

    Data Science

    Universität Trier

  • 2 Jahre und 10 Monate, Nov. 2018 - Aug. 2021

    Mathematics and Economics

    University of London

  • 1 Jahr und 5 Monate, Okt. 2016 - Feb. 2018

    Mathematics

    University of Wrocław

Sprachen

  • Russisch

    Muttersprache

  • Englisch

    Fließend

  • Polnisch

    Gut

  • Deutsch

    Grundlagen

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