Pavel Logacev
Verified Expert in Engineering
Data Scientist and AI Developer
Berlin, Germany
Toptal member since January 27, 2022
Pavel is a data scientist with a specialization in Bayesian methods. He has a master's degree in computational linguistics and a PhD in cognitive science from Potsdam University in Germany. Having worked in sectors as diverse as pricing, psychology, finance, education, health, eCommerce, SEO, and betting markets, Pavel has over 10 years of experience in statistical data analysis and data science.
Portfolio
Experience
- R - 15 years
- Ggplot2 - 10 years
- Bayesian Inference & Modeling - 7 years
- Data Science - 7 years
- Machine Learning - 5 years
- Stan - 5 years
- Python - 5 years
- Statistics - 5 years
Availability
Preferred Environment
Ubuntu, R, Tidyverse, Ggplot2, PyMC, Python, Pandas, Stan
The most amazing...
...thing I've worked on is the maximization of the sustainability and efficiency of heating systems using heat demand forecasting based on weather forecasts.
Work Experience
Senior Data Scientist
Pearson Pricing
- Carried out price elasticity analyses on big data to determine the optimal price points for stores and products and presented the results.
- Conducted basket analyses on big data to determine popular combinations of items customers tend to purchase.
- Created a standardized workflow for price elasticity analysis in BigQuery, which can be applied to large datasets from various industries.
- Trained analysts in the use of R for data analysis.
Data Scientist
Freelance
- Implemented machine learning solutions that helped clients make sense of data and automatize forecasting processes.
- Provided statistical consulting and carried out statistical analyses, contributing to scientific publications.
- Solved numerous continuous and discrete optimization problems.
Assistant Professor
Bogazici University
- Designed and taught courses on research methods and statistics.
- Created new statistical models of eye movements during sentences comprehension in reading.
- Planned and carried out experimental research on reading and managed an eye-tracking laboratory.
- Supervised the research of several students, including master's theses.
Researcher
University of Potsdam
- Taught courses on experimentation and research methods.
- Conducted research on formal models of sentence comprehension.
- Managed an SQL database with linguistically annotated historical texts.
Software Developer
adisoft AG
- Developed mobile communication solutions on embedded platforms like Symbian operating system.
- Built web applications in Python for the Zope CMS.
- Restructured and ported software from Linux to Symbian operating system.
Experience
Energy Consumption Prediction
Based on weather data, I created a REST API for forecasting the daily by-block energy demand distribution. The quantile regression model was implemented on H2O, and the REST API in R, using the plumber library.
The predicted distribution of energy consumption was used in simulations serving to optimize the energy efficiency of the district heating system.
Genetic Programming-based Trading System
I developed and implemented the logic of the optimization algorithm in R and backtested on historical data. Signals were exported in a MetaTrader readable format.
Churn Prediction App
The app displays predictions of churn probability and features importance values.
Education
PhD in Cognitive Science
University of Potsdam - Potsdam, Germany
Master's Degree in Computational Linguistics
University of Potsdam - Potsdam, Germany
Skills
Libraries/APIs
Ggplot2, Tidyverse, PyMC, Pandas, Rcpp, Matplotlib, NumPy, Scikit-learn, XGBoost, PyTorch
Tools
Git, BigQuery, Prefect
Languages
R, Python, C++, Perl, C, SQL
Platforms
Google Cloud Platform (GCP), Ubuntu, H20, RStudio, Amazon Web Services (AWS)
Frameworks
RStudio Shiny
Paradigms
REST
Other
Linguistics, Statistics, Cognitive Science, Data Science, Scientific Data Analysis, Data Visualization, Data Analysis, Hypothesis Testing, Data Analytics, Statistical Data Analysis, Statistical Modeling, Analytics, Regression Modeling, Linear Regression, Bayesian Statistics, Machine Learning, Bayesian Inference & Modeling, Stan, Regression, Predictive Modeling, Software Development, Software Engineering, Predictive Analytics, Big Data, Sales Forecasting, Cloud, Computational Linguistics, Natural Language Processing (NLP), A/B Testing, Genetic Algorithms, Google BigQuery, dbplyr, Time Series, Business Analysis, Mathematics, Sports, Forecasting, Data Engineering, Big Data Architecture, Pricing, Cost Reduction & Optimization (Cost-down), Revenue Optimization, Generative Pre-trained Transformers (GPT), NumPyro, Artificial Intelligence (AI), eCommerce
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