Pavel Logacev, Developer in Istanbul, Turkey
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Pavel Logacev

Verified Expert  in Engineering

Data Scientist and AI Developer

Location
Istanbul, Turkey
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 Ph.D. 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 ten years of experience in statistical data analysis and data science.

Portfolio

Pearson Pricing
Google BigQuery, BigQuery, R, Python, dbplyr, SQL, Statistical Modeling...
Freelance
Data Science, R, Tidyverse, Ggplot2, Statistics, Bayesian Statistics...
Bogazici University
Bayesian Statistics, Bayesian Inference & Modeling, R, Stan, Data Analysis...

Experience

Availability

Part-time

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

2022 - PRESENT
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.
Technologies: Google BigQuery, BigQuery, R, Python, dbplyr, SQL, Statistical Modeling, Time Series, Data Analytics, Data Science, Analytics, Predictive Modeling, Regression Modeling, Business Analysis, Software Development, Software Engineering, Linear Regression, Mathematics, Predictive Analytics, Matplotlib, Data Engineering, Big Data, Big Data Architecture, Pricing, Cost Reduction & Optimization, Revenue Optimization, RStudio

Data Scientist

2015 - PRESENT
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.
Technologies: Data Science, R, Tidyverse, Ggplot2, Statistics, Bayesian Statistics, Machine Learning, Bayesian Inference & Modeling, Stan, RStudio Shiny, Rcpp, Regression, Hypothesis Testing, Data Analysis, A/B Testing, Data Visualization, Scientific Data Analysis, SQL, REST, H20, C++, C, Git, Statistical Data Analysis, Time Series, XGBoost, Scikit-learn, NumPy, Data Analytics, Analytics, Predictive Modeling, Regression Modeling, Software Development, Software Engineering, Linear Regression, Mathematics, Sports, Predictive Analytics, Forecasting, Matplotlib, Statistical Modeling, Sales Forecasting, RStudio

Assistant Professor

2016 - 2022
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.
Technologies: Bayesian Statistics, Bayesian Inference & Modeling, R, Stan, Data Analysis, Tidyverse, Ggplot2, Linguistics, Statistics, Machine Learning, Cognitive Science, Regression, Hypothesis Testing, Data Visualization, Scientific Data Analysis, Data Science, C++, C, Git, Data Analytics, Regression Modeling, Linear Regression, Mathematics, Statistical Modeling, RStudio

Researcher

2008 - 2015
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.
Technologies: Bayesian Statistics, Bayesian Inference & Modeling, R, Data Analysis, Tidyverse, Ggplot2, Linguistics, Computational Linguistics, GPT, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Statistics, Stan, Rcpp, Regression, Hypothesis Testing, Data Visualization, Scientific Data Analysis, Git, Data Analytics, Regression Modeling, Linear Regression, Mathematics, Statistical Modeling

Software Developer

2001 - 2004
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.
Technologies: Perl, C, C++, Python, Software Development, Software Engineering

Energy Consumption Prediction

A system for predicting energy consumption based on weather forecasts.

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

A genetic programming-based framework for optimizing buy-and-sell signals in an automatic 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

An app for churn prediction. I implemented an app with an RShiny web interface that lets the user upload a tabular dataset in several formats and, given some metadata, automatically trains multiple customer churn models for a new dataset.

The app displays predictions of churn probability and features importance values.

Languages

R, C++, Python, Perl, C, SQL

Libraries/APIs

Ggplot2, Tidyverse, PyMC, Pandas, Rcpp, Matplotlib, NumPy, Scikit-learn, XGBoost

Paradigms

Data Science, REST

Other

Linguistics, Statistics, Cognitive 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, 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, Revenue Optimization, GPT, Generative Pre-trained Transformers (GPT)

Frameworks

RStudio Shiny

Tools

Git, BigQuery

Platforms

Ubuntu, H20, RStudio

2009 - 2015

PhD in Cognitive Science

University of Potsdam - Potsdam, Germany

2003 - 2008

Master's Degree in Computational Linguistics

University of Potsdam - Potsdam, Germany

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