About

Theodore Manassis

Data Scientist at the Ministry of Justice ,interested in the intersection of Statistics , Computer Science , Machine Learning and Data Visualization. And cats.


Before MoJ,I worked in the Office for National Statistics Big Data team. Previously I was employed in the private sector as a programmer working with Perl,Java and C++.

Not a [ninja,rockstar,influencer] or any other LinkedIn bo%^*cks


Interests 🤖


  - Statistics
  - Distributed Computing and programming
  - Data Science on cluster platforms 
  - Spark/HDFS/Hadoop/YARN/PySpark/Hive/Impala in CDH
  - NLP 
  - Python (especially functional programming on Python)
  - Graph Databases. Graph/Network Theory
  - Clustering methods 
  - ... And projection methods to bring info into 2d!
  - Visualization (web based/interactive but also 3D based!!)
  - Testing (from unit to integration to end-to-end).
  - Profiling and finding ways to run code faster 
  - Lisp-family functional languages such as Clojure
  - Functional Languages in general 
  - Sound / Audio / DSP

ACADEMIC QUALIFICATIONS 🎓

2014,CARDIFF UNIVERSITY 

    MSc IN APPLIED STATISTICS & OPERATIONAL RESEARCH
    
2004,UNIVERSITY OF HULL 

    MSc COMPUTER GRAPHICS AND VIRTUAL ENVIRONMENTS
  
1999,MIDDLESEX UNIVERSITY   

    BSc (HONS) APPLIED COMPUTING

Contact me

Feel free to reach out on Twitter (click on the twitter icon below).

some links: 💻

  • Currently involved in data science projects using PySpark 2+ on the Cloudera Data Science Workbench environment on CDH (Cloudera’s software distribution containing Apache Hadoop , Hive, YARN , Spark) and related opensource projects. [not availiable in a public repository]

  • On 2015 I had been working on a project involving NOSQL Graph databases (Neo4j) and researching the ways they can improve on existing data matching practices at the ONS.

    A graph linkage interactive viz in Shiny

  • A lunch-talk I was supposed to give at GDSP Conference 2018 … but that day I was snowed in… (doh!)

    Profiling and Optimizing python.

  • For more ,check my github repo (click on the octocat below!)