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Natalino Busa

Senior Director Data

Singapore, Amsterdam

natalino.busa@gmail.com
+6584382445

Natalino Busa

Senior Director of Data Engineering, Science, Analytics, Reporting, AI, and Big Data. Managing all data related activities & teams. Reporting directly to CFO/CEO.

Natalino Busa is skilled at defining, designing and implementing custom big/fast data solutions for data-driven applications such as predictive analytics, personalized marketing, fraud detection and business event monitoring. Proficient in porting traditional ETL to Open Source data solutions.

Natalino has successfully led teams across the world with effective, fit-for-purpose and reliable solutions. He provides a unique combination of business vision, applied data science and engineering skills.

Expertise

  • Data Engineering
  • Data Visualization
  • Data Science & AI
  • Information Retrieval

Data Specialities

  • ETL on Open Source Stacks
  • Spark, Elastic Search, Kafka
  • Customer Profiling
  • Recommender Systems
  • Fraud Analytics
  • Predictive Data Analysis
  • Exploratory Data Analysis
  • (Inventory/Revenue) Forecasting

Worked for

  • Teko, VnPay, Phong Vu (Vietnam)

    Director Data Science, Engineering, and Analytics
    Responsible for all data analytics components
    from ETL reporting to Recommenders

    DBS (Singapore)

    SVP Data Architect
    Design Open Source Data Ecosystem, Data Governance

  • ING Retail (Netherlands)

    Data Enterprise Architect:
    Fraud Detection and Account Forecasting

  • Civolution (Netherlands)

    Chief Data Engineer:
    Designed a Shazam-like audio/video Web Service

  • Philips researcher (Netherlands)

    Senior Researcher
    Parallel Computing and Video Compression

Recent Posts

Parquet Pushdown Filters

Filters can be applied to parquet files to reduce the volume of the data loaded. In particular parquet objects support partition …

Aggregating Dataframes

Getting started Let's start spark using datafaucet. import datafaucet as dfc # let's start the engine dfc.engine('spark') …

Streaming Analytics

Many enterprises are moving from batch to streaming data processing. This engineering innovation provides great improvements to many …

The AI scene in the valley

A few weeks back I was lucky enough to attend and present at the Global AI Summit in the bay area. This is my personal trip report …

Data Science Q&A

I was kindly asked by Prof. Roberto Zicari to answer a few questions on Data Science and Big Data for www.odbms.org - Let me know what …

Projects

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