Denis Davydov, PhD

I am a Data Scientist and Analyst with a specialization in Customer Behavior. This is me passionate about data.
I have solid experience in BI, Statistical Analysis, Prediction Models, Customer Segmentation, and Data Mining for business and the public sphere.

What I Do

Research design & Data Architecture

Experimental and Samples design, Toolkit Development (Questionnaires, Attitude scales, and Guides), Psychometrics. 'Digital footprint' investigation. BI strategy and DWH development.

Data analysis

Data collecting, cleaning, and processing. Advanced and Multivariate Statistical Analysis. Machine learning. Content analysis, Web-analytics, Advertising outcomes evaluation, A/B testing.

Predictive modeling

Development predictive models of Consumer Behavior and Attitude change models. Buyer’s behavior and personality models. Validation of predictive models

Customer Insights

Customer Segmentation, Psychographics, Communication strategies development. Brand mapping and Perceptual Mapping. Brand personality investigation. Customer Satisfaction measurement. Data Visualization and Insights provision.

Resume

17 Years of Experience

Experience

Feb 2022 - present
EPAM Systems

Lead Data Analyst

The data model (integration Google Analytics and internal sources) has been developed and Power BI reports for management, marketing, and People analytics were built. KPI and sophisticated metrics with advanced DAX are implemented. Data quality and reports high performance have been achieved. Ad-hoc research. GPT vector search and matching models have been developed (API OpenAI).

May 2021 - Jan 2022
Education center for digital transformation teams and CDTOs (RANEPA, Moscow)

Lead Data Analyst - Head of Analytics

Leading the analytics team. Communication with the product teams, identifying clients’ needs. Developing BI platform (Centralized and Self-Service), data architecture and DWH. ETL and views development. Reporting in Power BI and Python. Regular reports and advanced Ad Hoc analytics of educational data: student behavior and content consumption, tests performance, surveys, and feedback (NPS, CSI), churn prediction. Staff training, and data culture promotion.

Feb 2021 - Apr 2021
InfoNet Mobile, Moscow

Lead Data Analyst

Clients’ needs clarification, writing proposals and technical specifications. Analytical team supervision. Retrieving data from storage, cleaning, aggregating and preprocessing data. Statistical analysis and modeling. Models’ validation. Making reports and presentations. Configuring BI platform.

Feb 2020 – Dec 2020
E-Education platform “Umney”, Moscow

E-learning Insight analyst

Development of an analytical database (DWH LMS), cleaning and preprocessing. Data mining for the 'digital footprint' of students. Identification of self- and peer-assessment styles (k-means). Customer churn prediction (random forests). Academic dishonesty detection (ANN). Cognitive styles determination, segmentation of students. Validation of innovative e-learning technologies (experimental paradigms to test hypotheses, A/B testing). Customer Satisfaction measurement.

Feb 2018- Feb 2020
TrueNorth (BesFitMe), UK

Behavioral Data Analyst

Development of AI-based recommendation services: review of scientific papers, development strategy, and design of research, preparing data for ML, validation of models.  Search of Insights for consumer and employees’ behaviors based on advanced Statistical Analysis and Predictive modeling. Psychography, Customer Segmentation and Targeting, Perceptual mapping, Attitude change measurement etc. Development Typology of the buyer’s behavior and personality (Big Five models). A/B testing. Psychometrics: development measurements, test and questionnaire administrations, validation, standardization. Ad-hoc analytics to support marketing decisions. Presentations, study reports and training support for clients.

Mar 2008 – Jan 2018
Modern University for the Humanities, Moscow

Head of Laboratory of Behavioral Attitudes

Educational Data mining. Development of toolkit (tests, questionnaires, content analysis of texts). Measurement of Health attitudes, Daily activity, Cognitive abilities, Life Quality of university students. Validation of innovative e-learning technologies (experimental paradigms to test hypotheses, A/B testing). Segmentation and development predictive models of e-Learning behavior. Drawing up research reports for clients and papers.

Sep 2009 - Aug 2018
International University of Business and Management, Faculty of Advertising, Moscow

Associate Professor (part-time)

Teaching and administration courses: ‘Social psychology’, ‘Media Psychology’, ‘Psychology of Advertising’, ‘Infographic and Data Visualization’. Research for the effectiveness advertising, content analysis of media, brand mapping, consumer segmentation, electoral surveys. Creating reports and publishing research papers.

Jan 2018 -Jul 2018
Crystal McKenzie, Inc. (CMI), New York, US

Researcher (internship)

Study for the Trash Free Waters Challenge Program for upstream pollution prevention in NYC by encouraging behavioral changes in both retailers and consumers. Clarifying approaches and identifying indicators. Four Questionnaires have been developed. Sampling Design.  Surveys design via SurveyMonkey. Data collection and description of the variables of interest, evaluate the relationship between the variables and building a prediction model for the outcome.

Avg 2005-Jul 2008
Marketing communications research, Moscow

Freelancer

Negotiations and clarification of customer needs, development of research programs. Management of research team and diagnostic tools development. Statistical analysis: consumer segmentation, satisfaction, advertising outcomes. Brand perception mapping and insights for branding. Drawing up reports and presentations.

Jun 2003-Mar 2005
RUSCONSULT, Ltd. Real estate agency, Moscow

Head of Advertising Department

Market research in Luxury Real estate area (benchmarking, interview, sales analysis). Branding and Development of Marketing strategy. Advertising planning and placement. Evaluation of the effectiveness of advertising. Customers satisfaction measurement.

Education

2002 - 2005
Faculty of Psychology, Military University, Moscow, Russia

PhD in Social Psychology

Dissertation: ‘Social perception of the Government department by youth’

1999-2002
Faculty of Staff management and Education, Military University, Moscow, Russia

Master in Psychology

Thesis: “Distortion of Social perception”

Graduated with high honors.

1988 - 1992
Higher Military College of Air Defense, St. Petersburg, Russia

Bachelor in Information Technology

Graduated with high honors.

Research Skills

Qualitative research & sample design

100%

BI strategy

80%

Data Management, Architecture and DWH

75%

Metrics Development

90%

Toolkit development & Psychometrics

95%

A/B Testing

70%

Data Science Skills

Advanced statistical analysis

100%

Cluster & Multivariate Analysis (PCA, CFA)

98%

Predictive Modeling & Machine Learning

70%

Data Visualization

80%

Python (NumPy, Pandas, Matplotlib, SciPy, ...)

65%

IBM SPSS (Statistics, AMOS, Modeler)

85%

SQL

60%

Power BI & DAX

95%

LLM (GPT) for customer matching and recommendation

60%

Consumer Behavior Skills

Social Psychology

100%

Culture and Social attitudes

90%

Consumer Decision Making Models

80%

Persuasion models

80%

Customer Satisfaction

85%

Human-computer interaction & UX

55%

Brand personality

85%

Psychographics Segmentation

80%

Media behavior

70%

Portfolio

My Projects
Customer Segmentation in the vehicles market

Customer Segmentation in the vehicles market

Automotive, Consumer Decision Making, Customers Segmentation, Machine learning, Psychographics
Ad Targeting for Personality Types

Ad Targeting for Personality Types

Consumer Decision Making, Customers Segmentation, Psychographics
Churn risk model

Churn risk model

e-Education, Educational Data Mining, Machine learning, Predictive Modeling
Portrait of the e-education consumer

Portrait of the e-education consumer

Customers Segmentation, e-Education
Psychometrics, data preprocessing and AI model verification

Psychometrics, data preprocessing and AI model verification

AI, Machine learning, Psychometrics
Peer- and self-assessment styles in e-Learning

Peer- and self-assessment styles in e-Learning

e-Education, Educational Data Mining, Psychometrics
Assessing cognitive functions through e-learning behavior

Assessing cognitive functions through e-learning behavior

e-Education, Educational Data Mining
Car Brand Personality

Car Brand Personality

Automotive, Psychographics
Six Dimensions of the Car buyers Decision Making

Six Dimensions of the Car buyers Decision Making

Automotive, Consumer Decision Making
Predictive model validation

Predictive model validation

AI, Predictive Modeling, Psychographics
Psychographics: target audience of the new car model

Psychographics: target audience of the new car model

Automotive, Consumer Decision Making, Psychographics

Blog

My Diary

Contact

Get in Touch

Denis Davydov, PhD

I am a Data Scientist and Analyst with a specialization in Customer Behavior. This is me passionate about data.
I have solid experience in BI, Statistical Analysis, Prediction Models, Customer Segmentation, and Data Mining for business and the public sphere.

What I Do

Research design & Data Architecture

Experimental and Samples design, Toolkit Development (Questionnaires, Attitude scales, and Guides), Psychometrics. 'Digital footprint' investigation. BI strategy and DWH development.

Data analysis

Data collecting, cleaning, and processing. Advanced and Multivariate Statistical Analysis. Machine learning. Content analysis, Web-analytics, Advertising outcomes evaluation, A/B testing.

Predictive modeling

Development predictive models of Consumer Behavior and Attitude change models. Buyer’s behavior and personality models. Validation of predictive models

Customer Insights

Customer Segmentation, Psychographics, Communication strategies development. Brand mapping and Perceptual Mapping. Brand personality investigation. Customer Satisfaction measurement. Data Visualization and Insights provision.

What I Do

Research design & Data Architecture

Experimental and Samples design, Toolkit Development (Questionnaires, Attitude scales, and Guides), Psychometrics. 'Digital footprint' investigation. BI strategy and DWH development.

Data analysis

Data collecting, cleaning, and processing. Advanced and Multivariate Statistical Analysis. Machine learning. Content analysis, Web-analytics, Advertising outcomes evaluation, A/B testing.

Predictive modeling

Development predictive models of Consumer Behavior and Attitude change models. Buyer’s behavior and personality models. Validation of predictive models

Customer Insights

Customer Segmentation, Psychographics, Communication strategies development. Brand mapping and Perceptual Mapping. Brand personality investigation. Customer Satisfaction measurement. Data Visualization and Insights provision.