Recommended expert

Vladimir Novkov

Freelance Data Scientist

Vladimir Novkov
Sofia, Bulgaria

Experience

Jan 2020 - Present
6 years 2 months

Freelance Data Scientist

Various Clients

  • Conducted ordinal logistic regression analysis examining Big Five personality traits and AI attitudes using Python (mord, scikit-learn), delivering statistical summaries with coefficient interpretations and model diagnostics
  • Developed custom R Shiny applications for psychometric research, survey analytics, and business intelligence
  • Provided statistical consulting expertise in Factor Analysis, reliability testing, and scale development for research projects
Jan 2015 - Dec 2025
11 years

Lead Data & Business Analyst

NERIS Analytics / 16Personalities.com

  • Designed and validated statistical models for personality assessment using Factor Analysis, Item Response Theory, and Structural Equation Modeling
  • Analyzed datasets containing millions of personality test responses using R, SPSS, and custom statistical pipelines
  • Built advanced models using R (lavaan, psych, mirt) for trait measurement, reliability analysis, and predictive modeling
  • Architected and built 16 comprehensive monitoring dashboards covering user behavior, test completion rates, conversion metrics, team performance, technical health, and business KPIs
  • Connected SurveyMonkey to Tableau for automated survey data visualization and analysis, enabling real-time feedback monitoring
  • Developed data-driven strategies using Tableau, Google BigQuery, and custom BI solutions for strategic decision-making and stakeholder reporting
  • Created enterprise-grade internal tools in R Shiny for automated psychometric analysis, reducing analysis time from days to hours
  • Designed and executed large-scale quantitative research studies on personality types and human behavior patterns
  • Built specialized dashboards for team performance monitoring, engagement tracking, and productivity metrics
  • Established best practices for reproducible analysis workflows and statistical validation protocols
  • Technologies: R, SPSS, Tableau, SQL, Google BigQuery, Shiny, ggplot2, plotly, lavaan, psych, mirt, SurveyMonkey API, Git
Jan 2014 - Present
12 years 2 months

Founder & Lead Developer

SportPersonalities.com

  • Architected and developed a 183,000+ line codebase in PHP, JavaScript, and SQL with modular design patterns
  • Designed a unified API interface supporting Claude Sonnet 4.5, GPT-4, and Gemini with automatic failover and batch processing
  • Developed an automated athlete personality classification algorithm with 85%+ confidence scoring across four psychological dimensions
  • Built a psychometric quiz generator with a three-phase workflow, quality scoring, and statistical validation
  • Engineered an automated data collection system processing 1000+ athlete profiles from Google Trends, ESPN, and Reddit using the ScrapeOps API
  • Designed a custom MySQL schema with six specialized tables and a caching layer reducing API calls by 90%
  • Implemented a privacy-preserving analytics system with IP hashing, consent management, and right-to-erasure functionality
  • Created an intelligent social media posting system with optimal timing algorithms and an Instagram carousel generator
  • Built a job queue management system (Redis, Bull) handling 100+ concurrent AI requests with status tracking
  • Integrated 11 external APIs (Anthropic, OpenAI, Google, Stripe, Pexels, ElevenLabs, social media platforms) with unified error handling
  • Developed a newsletter campaign system with queue management, GDPR tracking, and automated content curation
  • Implemented caching strategies, database indexing, and lazy loading reducing page load times by 60%
  • Technologies: PHP 8.1+, JavaScript (ES6+), MySQL, WordPress, Claude API, GPT-4 API, Gemini API, GD Library, FFmpeg, Composer, Git
  • Scale: 309 AJAX endpoints, 3,601 functions, 6 custom post types, 50+ articles/week automated generation

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (12 years), Sport (12 years), and Professional Services (11 years).

Information Technology
Sport
Professional Services

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Research and Development (12 years), Product Development (12 years), Information Technology (12 years), and Business Intelligence (11 years).

Research and Development
Product Development
Information Technology
Business Intelligence

Summary

Data Scientist and Full-Stack Developer with 10+ years of experience transforming complex behavioral datasets into strategic insights. Expert in R/Python statistical computing, enterprise Shiny application development, and AI/LLM integration. Led data analytics at NERIS Analytics (16personalities.com), serving millions of users globally with advanced psychometric frameworks. Specialized in building scalable data pipelines, automating analytical workflows, and deploying production ML systems. Combines deep expertise in statistical modeling (Factor Analysis, IRT, Bayesian inference) with modern software engineering practices (API design, cloud databases, containerization).

Skills

Programming Languages

  • R (Expert) - Statistical Computing, Data Visualization, Shiny Development
  • Python (Advanced) - Data Analysis, Ml, Automation, Web Scraping
  • Php (Advanced) - Wordpress Development, Api Integration, Data Processing
  • Javascript/node.js (Intermediate) - Full-stack Development, Async Workflows
  • Sql (Advanced) - Postgresql, Mysql, Bigquery, Complex Queries

Statistical & Ml Methods

  • Psychometrics: Factor Analysis (Efa/cfa), Irt, Sem, Reliability (Cronbach's Α, Omega)
  • Bayesian Statistics: Bayesfactor, A/b Testing, Confidence Intervals
  • Regression: Linear, Ordinal Logistic (Proportional Odds), Diagnostics
  • Machine Learning: Classification, Time Series Forecasting (Prophet), Clustering
  • Text Analytics: Nlp, Sentiment Analysis, Word Networks, N-gram Analysis
  • Business Analytics: Cohort Analysis, Engagement Metrics, Risk Scoring

R Ecosystem & Bi Tools

  • Core: Tidyverse (Dplyr, Tidyr, Ggplot2), Data.table
  • Statistics: Psych, Lavaan, Mirt, Bayesfactor, Lsr, Hmisc
  • Visualization: Ggplot2, Plotly, Googlevis, Qgraph, Rcolorbrewer, Tableau
  • Shiny: Shiny, Shinydashboard, Shinywidgets, Shinyjs, Dt
  • Ml: Prophet, Caret, Mord
  • Bi Platforms: Tableau (Dashboard Design, Surveymonkey Integration), Google Bigquery

Python Stack

  • Data: Pandas, Numpy, Scipy
  • Ml: Scikit-learn, Prophet
  • Web: Streamlit, Flask, Fastapi, Beautifulsoup, Requests
  • Nlp: Nltk, Text Processing

Ai & Llm Integration

  • Models: Openai Gpt-4, Anthropic Claude (Sonnet 4.5), Google Gemini (Flash, Pro)
  • Techniques: Prompt Engineering, Batch Processing, Multi-model Architecture
  • Applications: Content Generation, Data Analysis, Personality Profiling
  • Apis: Whisper (Transcription), Async Workflows, Error Handling

Databases & Cloud

  • Sql Databases: Postgresql, Mysql, Sqlite
  • Cloud: Google Bigquery (Large-scale Data Warehousing)
  • Caching: Redis (Job Queues), Transients
  • Design: Schema Optimization, Indexing, Query Performance

Web Development & Apis

  • Frameworks: Wordpress, Express.js, Shiny, Streamlit
  • Apis: Restful Design, Oauth 2.0, Webhook Integration
  • Frontend: Html5, Css3, Javascript, Ajax, Jquery
  • Integration: 11+ External Apis (Stripe, Scrapeops, Social Media, Ai Services)

Devops & Tools

  • Version Control: Git, Github
  • Containerization: Docker
  • Automation: Cron Jobs, Wp-cron, Task Queues (Bull/redis)
  • Other: Composer, Ffmpeg, Mpdf, Gd Library

Domain Expertise

Psychometrics & Statistics

  • Personality Assessment Design
  • Factor Analysis (Efa, Cfa)
  • Item Response Theory
  • Scale Development And Validation
  • Reliability And Validity Testing
  • Classical Test Theory

Machine Learning & Ai

  • Llm Integration And Prompt Engineering
  • Time Series Forecasting (Prophet)
  • Classification Models
  • Cluster Analysis
  • Nlp And Text Analytics
  • Ordinal Logistic Regression

Data Engineering

  • Etl Pipeline Design
  • Database Schema Optimization
  • Api Design And Integration
  • Async Job Queue Architecture
  • Caching Strategies
  • Web Scraping At Scale

Business Intelligence & Analytics

  • Dashboard Architecture And Design (16 Dashboards)
  • Tableau Dashboard Development
  • Surveymonkey To Bi Integration
  • User Behavior Analytics
  • Engagement Metrics And Kpis
  • Cohort Analysis
  • A/b Testing (Bayesian)
  • Risk Scoring Models
  • Conversion Optimization

Languages

English
Advanced
Bulgarian
Intermediate

Education

Sofia University "St. Kliment Ohridski" - Faculty of Philosophy and History

Master of Arts in Social Psychology · Social Psychology · Sofia, Bulgaria

Sofia University "St. Kliment Ohridski" - Faculty of Philosophy and History

Bachelor of Arts in Psychology · Psychology · Sofia, Bulgaria

Profile

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Vladimir based?

Vladimir is based in Sofia, Bulgaria.

What languages does Vladimir speak?

Vladimir speaks the following languages: English (Advanced), Bulgarian (Intermediate).

How many years of experience does Vladimir have?

Vladimir has at least 12 years of experience. During this time, Vladimir has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 4 years. Note that Vladimir may not have shared all experience and actually has more experience.

What roles would Vladimir be best suited for?

Based on recent experience, Vladimir would be well-suited for roles such as: Freelance Data Scientist, Lead Data & Business Analyst, Founder & Lead Developer.

What is Vladimir's latest experience?

Vladimir's most recent position is Freelance Data Scientist at Various Clients.

What companies has Vladimir worked for in recent years?

In recent years, Vladimir has worked for Various Clients, NERIS Analytics / 16Personalities.com, and SportPersonalities.com.

Which industries is Vladimir most experienced in?

Vladimir is most experienced in industries like Information Technology (IT), Sport and Recreation, and Professional Services.

Which business areas is Vladimir most experienced in?

Vladimir is most experienced in business areas like Research and Development (R&D), Product Development, and Information Technology (IT). Vladimir also has some experience in Business Intelligence.

Which industries has Vladimir worked in recently?

Vladimir has recently worked in industries like Information Technology (IT), Sport and Recreation, and Professional Services.

Which business areas has Vladimir worked in recently?

Vladimir has recently worked in business areas like Research and Development (R&D), Product Development, and Information Technology (IT).

What is Vladimir's education?

Vladimir holds a Master in Social Psychology from Sofia University "St. Kliment Ohridski" - Faculty of Philosophy and History and a Bachelor in Psychology from Sofia University "St. Kliment Ohridski" - Faculty of Philosophy and History.

What is the availability of Vladimir?

Vladimir is immediately available full-time for suitable projects.

What is the rate of Vladimir?

Vladimir's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Vladimir?

To hire Vladimir, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

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Market avg: 420-580 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.