Data Science Consultant
Microsoft
(Internet and Information Technology, >10.000 employees)
Keywords
Skills
Programming & Cloud ● Python ● SQL ● Spark ● Azure ● Databricks
Data Visualisation ● Bokeh ● Matplotlib ● Power BI
Modelling ● Machine Learning ● Deep Learning ● Recommender Systems
Research & Statistics ● SPSS ● Research Methods ● Experimental Design ● Hypothesis & A/B Testing
Neuroscience ● Affective Computing ● Eye-tracking ● Neuro-Imaging
Creative ● Design Thinking ● Design led Analytics ● AI Design Sprints
Project Management & Leadership ● Agile ● Team Lead ● IT Consulting
Data Visualisation ● Bokeh ● Matplotlib ● Power BI
Modelling ● Machine Learning ● Deep Learning ● Recommender Systems
Research & Statistics ● SPSS ● Research Methods ● Experimental Design ● Hypothesis & A/B Testing
Neuroscience ● Affective Computing ● Eye-tracking ● Neuro-Imaging
Creative ● Design Thinking ● Design led Analytics ● AI Design Sprints
Project Management & Leadership ● Agile ● Team Lead ● IT Consulting
Project history
07/2018
-
12/2019
* Data science stream lead on machine learning for demand forecasting project (energy & services)
* Scoped and built traffic models for rush hour prediction and trip segmentation for IoT equipped vehicles
along with ideation of future ML use cases as part of customised data strategy (automotive)
* Build recommender system for IoT equipped elevators for repair jobs to be performed by technicians,
where high customer satisfaction led to an additional order of 670k USD (industrial engineering)
* Implemented hierarchy of classification models for machine part detection along with OCR (manufacturing)
* Recruitment: conducted technical interviews (focus: Data Science & AI)
* Scoped and built traffic models for rush hour prediction and trip segmentation for IoT equipped vehicles
along with ideation of future ML use cases as part of customised data strategy (automotive)
* Build recommender system for IoT equipped elevators for repair jobs to be performed by technicians,
where high customer satisfaction led to an additional order of 670k USD (industrial engineering)
* Implemented hierarchy of classification models for machine part detection along with OCR (manufacturing)
* Recruitment: conducted technical interviews (focus: Data Science & AI)
02/2017
-
06/2018
Data Science Consultant
Accenture
(Internet and Information Technology, >10.000 employees)
* Time-series machine learning for crisis early warning systems to predict events of interest on national and
sub-national level using a multitude of open source datasets (software, government, financial services)
* Object classification and localisation for satellite images using deep learning (government)
* Recommender system for up-selling upon vehicle purchase (automotive)
* Recruitment: conducting technical interviews (focus: AI), company representative at technical and AI
conferences, supervision of data science projects by student group (TU Darmstadt) etc.
sub-national level using a multitude of open source datasets (software, government, financial services)
* Object classification and localisation for satellite images using deep learning (government)
* Recommender system for up-selling upon vehicle purchase (automotive)
* Recruitment: conducting technical interviews (focus: AI), company representative at technical and AI
conferences, supervision of data science projects by student group (TU Darmstadt) etc.
09/2015
-
06/2016
Data Scientist
Reed.co.uk
(Internet and Information Technology, 1000-5000 employees)
* Building recommender systems for various recruitment products (i.e. 8.5M job alert emails per week,
mobile app etc.), analysing and predicting clickstream behaviour to optimise email marketing
mobile app etc.), analysing and predicting clickstream behaviour to optimise email marketing
07/2014
-
10/2014
Research Intern
Microsoft Research
(Internet and Information Technology, >10.000 employees)
* Investigating consumers' physiological responses (i.e. skin conductance, muscle potentials, eye tracking)
to online privacy invasions by simultaneous acquisition of multiple neurophysiology signals
to online privacy invasions by simultaneous acquisition of multiple neurophysiology signals
05/2012
-
10/2013
Research Assistant
University College London, Department of Computer Science
(Public service, >10.000 employees)
* Investigating online decision making and privacy in terms of human computer interaction and usability in
+250 participants (in collaboration with Microsoft Research)
+250 participants (in collaboration with Microsoft Research)
10/2011
-
12/2012
Teaching Assistant
University College London, Department of Psychology
(Public service, >10.000 employees)
* Course modules: Programming in Matlab, Psychological Experiments, Neuroscience and the Media
10/2010
-
09/2011
Research Assistant
University College London, Institute of Neurology
(Public service, >10.000 employees)
* Experimental psychology research on human memory using psychophysics
Local Availability
Only available for remote work
