Skills

Programming Languages

  • R
  • Python
  • Java
  • JavaScript
  • JavaFX
  • SQL
  • NoSQL
  • HTML
  • CSS

Advanced Forecasting

  • Time series data patterns (trend, seasonality, cycle, event effects)
  • Exponential smoothing family models (moving averages, exponential smoothing, event-adjusment models)
  • Time series decomposition
  • Regression models (linear, logistic, stepwise, lasso)
  • Box-Jenkins (ARMA, ARIMA) methodology
  • Deterministic and probabilistic models
  • Machine learning (supervised learning and deep learning)

Data Analysis

  • Data collection (sampling, primary and secondary sources)
  • Data pre-processing
  • Data transformation and imputation
  • Data visualization (reports, static and dynamic dashboards)

Data Migration

  • Application migration (CRM, ERP)
  • Business process migration (M&A, business optimization)
  • ETL and ELT

Latest Articles

Alteryx: Identifying Logical Groups

The goal of the weekly challenge #11 is to identify logical groups (buckets) for each customer complaint in the dataset.

Internal Data is Not Used Enough

This essay is a literature review of the article “Profiting from Free and Underused Data” by Martin De Saulles, available on CIO.

How to Download Data and Parse JSON with Alteryx

The goal of the weekly challenge #7 is to download and parse data from the JSON API of Quandl, and identically match it to the provided dataset.