Proposition
More than Data Scientist
20 years of experience in Research, Programming, and Data Science with a strong background in Quantitative Marketing, Applied Mathematics, Economics, and Finance.
Open for collaboration and hard work
I have extensive experience working with diverse data sets across different industries such as marketing, finance, international trade, and video games. Leveraging a broad toolkit, I efficiently extract valuable insights from data, while my strong business acumen enables me to prioritize findings based on their impact and strategic value.
Business Insights
The true power of data shines only when visualized through an intuitive chart. Only then does it drive actionable business insights and fuel success. I hope you love beautiful and insightful charts as much as I do.
Beyond Correlation:
The Art of Causal Inference
Correlation can trick you, but causality reveals the real story. I bring the skills to sift through the data chaos, spotlighting the statistically and economically significant drivers that fuel game-changing decisions.
Modern Tools for Modern Problems
Don’t let yesterday’s tools hold you back. I use Machine Learning, Natural Language Processing, and Large Language Models to tackle today’s toughest data challenges with cutting-edge precision.
Mastering Data’s Many Dimensions
Understanding data means mastering its journey. I handle collection, cleaning, transformations, and modeling to deliver production-ready insights.
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Business interests
Experiment design (A/B testing)
Retention prevention
Conversion rate improvement
Estimation of customer lifetime value
Demand forecasting
Optimal pricing
Personalization of promotions
Improvement of customer engagement
Text-mining of customer reviews
Construction of product perceptual maps
Churn rate prediction
Quantitative modeling
Intuition and interpretation
Performance improvement
Causal Inference
Metamodeling
Sensitivity Analysis
Statistical confidence of the results
Numerical complexity and scalability (big data)
Numerical stability
Reliability and generalizability
Parallelization and optimization
Visualization
Research interests
Machine Learning applications in Marketing
Aggregate demand models with random coefficients
Structural interpretation of Machine Learning algorithms
Individual demand estimation with Neural Networks
Estimation of product maps and product substitution
Studying online word of mouth


Egor Kudriavtcev
Empowering businesses with data-driven solutions
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