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Research data scientist with specialisms in unusual datasets
Krishna Mooroogen
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
Primarily from a space science background I like to work on impactful challenges, with holistic datasets. I've worked on a range of problems, from solar magnetic events, medical imaging, instrument calibration, NDT and more recently traffic management data. An out of the box thinker that will levy deep methodology from the research space to approach problems.
Markets
United Kingdom
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Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
My experience
2019 - ?
job
Data Scientist
Valerann.
Valerann (recent winners of the CES best innovators awards) is a disrupter in the traffic management industry,
developing a one of a kind real-time smart road data platform from a suite of bespoke IoT sensors. As a data
scientist at Valerann, I work on drawing insights and developing features from our wealth of data collected from both cameras and sensor array. From these insights we can provide real time analysis of traffic systems on a vehicle by vehicle basis. This sits in the realm of BigData, with busy roads resulting in approximately a million matches per
second. I rely on an integrated stack including Python (SciKit-learn/Pandas), SQL and AWS to develop solutions
(including machine learning) and examine data. I employ a varied methodology in my work, including feature
scaling, importance searching and engineering, uncertainty measurement and employment of statistical
qualification. The role requires the development of algorithms to track vehicles in real time to extract physical
quantities but also to develop classifiers and regressors using offline learning. Complimentary to this role, I work
closely with the R&D team to refine and mature our technology including developing research test cases. This has
involved, at times, magnetic field and fluid modelling. As a relatively small data team I also support the Data Chief and Senior data scientist in building and scaling our platform and database architecture. We work collaboratively
through GitHub and Jira and implement both Scrum and Waterfall practises.
(Period of Travel in Japan/USA March - September 2019 included giving an invited talk at Kyoto university)
developing a one of a kind real-time smart road data platform from a suite of bespoke IoT sensors. As a data
scientist at Valerann, I work on drawing insights and developing features from our wealth of data collected from both cameras and sensor array. From these insights we can provide real time analysis of traffic systems on a vehicle by vehicle basis. This sits in the realm of BigData, with busy roads resulting in approximately a million matches per
second. I rely on an integrated stack including Python (SciKit-learn/Pandas), SQL and AWS to develop solutions
(including machine learning) and examine data. I employ a varied methodology in my work, including feature
scaling, importance searching and engineering, uncertainty measurement and employment of statistical
qualification. The role requires the development of algorithms to track vehicles in real time to extract physical
quantities but also to develop classifiers and regressors using offline learning. Complimentary to this role, I work
closely with the R&D team to refine and mature our technology including developing research test cases. This has
involved, at times, magnetic field and fluid modelling. As a relatively small data team I also support the Data Chief and Senior data scientist in building and scaling our platform and database architecture. We work collaboratively
through GitHub and Jira and implement both Scrum and Waterfall practises.
(Period of Travel in Japan/USA March - September 2019 included giving an invited talk at Kyoto university)
Iot, USA, Feature, Development, Support, Architecture, Technology, Engineering, Algorithms, Github, Test, Sql, Management, R, Database, Research, Jira, AWS, Machine learning, Scrum, Python
2018 - ?
job
panel member
Science Technology Facilities Council Advisory.
I provide advice to the STFC Executive on strategy, policies and programme balance for public
engagement with STFC's science and technology and provide new ideas for programme development.
engagement with STFC's science and technology and provide new ideas for programme development.
Technology, Development, Science
2017 - 2019
job
Higher Research Scientist
National Physical Laboratory.
At NPL I supported the non-destructive testing group with image analysis, data science and machine vision for
technology integration, structural health monitoring, medical imaging and digital metrology. This involved the
development of data acquisition methods and ensuring the traceability of the measurements. I often worked with large (GB-TB) structured and unstructured datasets that require feature extraction or registration from multiple
sources. My role was split between commercial work and national measurement services, weighted more towards
commercial work. This role was customer facing and involves elements of systems engineering during project
development. While at NPL I facilitated the formation of the machine learning knowledge group. This is an internal
cross-departmental group that hold seminars, consult on commercial work and brokers collaboration. In my role as
a Higher Research Scientist I also provided support for PhD students and junior research staff.
technology integration, structural health monitoring, medical imaging and digital metrology. This involved the
development of data acquisition methods and ensuring the traceability of the measurements. I often worked with large (GB-TB) structured and unstructured datasets that require feature extraction or registration from multiple
sources. My role was split between commercial work and national measurement services, weighted more towards
commercial work. This role was customer facing and involves elements of systems engineering during project
development. While at NPL I facilitated the formation of the machine learning knowledge group. This is an internal
cross-departmental group that hold seminars, consult on commercial work and brokers collaboration. In my role as
a Higher Research Scientist I also provided support for PhD students and junior research staff.
Machine learning, Data Science, Research, Integration, Engineering, Technology, Support, Monitoring, Development, Testing, Health, Science, Feature
2014 - 2014
job
Software test Engineer
Real VNC.
Prior to starting my PhD I worked as a software test engineer specialising in manual and automated testing in Python for the remote access company Real VNC. I was required to write detailed test plans and collaborate via
Git-Hub.
Git-Hub.
Python, Git, Software test, Test, Testing, Software
2013 - 2014
internship
Intern
Mullard Space Science Laboratory.
At MSSL I worked on the calibration of space based astronomical instruments with the aim of reducing instrument
contributions to the data images. Secondly, I worked with the Interference Region Imaging Spectrograph (IRIS)
satellite, where I exploited spectroscopic techniques to measure the optical depth of regions in the solar
atmosphere.
contributions to the data images. Secondly, I worked with the Interference Region Imaging Spectrograph (IRIS)
satellite, where I exploited spectroscopic techniques to measure the optical depth of regions in the solar
atmosphere.
Internal
2012 - 2012
internship
Intern
RHUL Physics department.
As a member of the Royal Holloway UL Dark Matter group I developed and calibrated a prototype a capacitance
based liquid level sensor to be used on the particle detector; the key aim was to eliminate parasitic capacitance in the readout cables by analysing pulse widths through a transducer.
based liquid level sensor to be used on the particle detector; the key aim was to eliminate parasitic capacitance in the readout cables by analysing pulse widths through a transducer.
Internal
My education
2014
-
2017
Northumbria University
Doctorate, Solar Physics
Doctorate, Solar Physics
2009
-
2013
Royal Holloway University of London
Masters, Thesis title
Masters, Thesis title
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