Full-time, consulting and freelancer projects

I’ve been working on various shorter and longer term projects in the past ~10 years focusing on a wide variety of data science / data engineering problems, and helping companies using R in production. Verticals and some high-level project details:

  • Finance: 2+ years at a growth stage fintech startup providing pre-paid and credit cards to US customers (optimizing online marketing campaigns, churn analysis, risk scoring, reporting and dashboards, operations like charging fees and real-time notification of customers); clustering of ~1K bank branches and performance analytics; network analysis of the Hungarian interbank lending market
  • Ad tech: 4+ years optimizing online ad campaign performance at growth stage startups, time-series forecasting, portfolio optimization, live scoring with ML models (R, Python, H2O), API integrations
  • Education: 5 years full-time assistant professor at PPKE, 4 years visiting professor at CEU, 3 years quality assurance of a Hungarian university (survey design, tech infrastructure for OCR-based data entry, automated reporting); 2 years quality assurance of Australian high schools (programmatic access of automated individual and aggregated reports); various R training events and classes
  • Product: 4 years full-time bootstrapping a SaaS startup at rapporter.net with the main focus on technology (managing the web application development and working on the R backend, scalability, security etc), 5+ years tech leading ID-ODS (web application for pharmacokinetic modeling)
  • Healthcare, pharma: 5+ years in deploying and optimizing pharmacokinetic (PK) and pharmacodynamic (PD) models for production use, R and mobile application integration for personalized antibiotics doses, drug usage reporting, introduction to R and statistics trainings
  • IT: anomaly detection in user behavior and network traffic patterns, R integration in web services
  • Manufacturing and logistics: monitoring and early warning on factory processes, product and customer segmentation, time-series forecasts, batch model training and scoring, CRM integrations, R training

References and more details available on request.

A quick glance at my tech background:

  • 15+ years Linux (Debian, Ubuntu, Arch) desktop user (qtile, rofi, Emacs, dotdrop), 10+ years system administration (bash/zsh, Ansible, capistrano, git(hooks), Apache, nginx, HAProxy, iptables, AppArmor, smartmontools, Docker)
  • 10+ years programming and scripting (mainly R with a little bit of bash, Python, Java, C++, Groovy etc)
  • 10+ years relational (MySQL, PostgreSQL, Impala, Redshift, Athena, Snowflake) and NoSQL (Redis, CouchDB, MongoDB, ElasticSearch) database usage with some DBA experiences and responsibilities
  • 10+ years data ingests (API integrations, databases, scraping, parsing), data munging (cleaning, filtering, aggregation), data hacking (imputation, disaggregation), visualization (base R graphics, lattice, ggplot2, Shiny, htmlwidgets, some D3) and modeling (clustering, dimension reduction, regression, classification, tree-based methods, time-series forecasts, multi-armed bandit) etc.
  • 5+ years data infra (Jenkins, HDFS, Amazon S3, SQS and Kinesis, Docker, batch and live scoring services)
  • 5+ years webdev (HTML5, CSS3, vanilla Javascript, jQuery, jQM, Angular 1 and Ionic, PHP, Ruby on Rails)
  • 5+ years monitoring/alerting (Zabbix, Amazon Cloudwatch, ELK, Splunk, Airbrake/Errbit)
  • 5+ years cloud (mainly Amazon Web Services, some Google Cloud Platform and Microsoft Azure)