DELGER ENKHBAYAR
London
Summary
Experienced hands-on data science leader and mentor. Currently work on solving challenging problems in deep learning space and delivering proof-of-concept projects in tight deadline. Experienced in hiring and mentoring data scientists in scale-ups and fast-growing orgs.
Overview
15
15
years of professional experience
Work History
Senior Applied Scientist
Microsoft
11.2020 - Current
- Designing and implementing metrics for CoPilots used to evaluate all online and offline experimentation
- Building recommendation and ranking systems for search across Microsoft suite of products
- Planning, building roadmaps for large scale complex projects
- Differentially private experimentation with eyes off data
- Hiring and coaching junior scientists
Lead Data Scientist, Deep Learning
Amazon Web Services
04.2019 - 09.2020
- Lead AI/ML projects in healthcare, sports analytics & public sector, to further accelerate AWS customers in their deep learning workloads. Lead in AWS/F1 ML graphics partnership
- Lead ideation sessions with customer C-suite and SMEs
- Establish close working relationship with product teams. Contributor to AutoGluon. Textract & SageMaker Roadmap contributions.
- Build deep learning pipelines on tabular, video, image, audio, telemetry data
- Interviewed 80+ candidates, coached >10 scientists
Lead Data Scientist
Barclaycard
12.2017 - 04.2019
- Lead Data Scientist in Strategic Analytics team. Led analysts to deliver 4 projects: second-order credit limit optimisation, contact channel optimisation, silent attrition/dormancy prediction, Experian-based open market response and internal accept/reject prediction. Impact assessed at £10s MMs
- Established classification and uplift capability in Python and Spark
- Closely aligned marketing and pricing stakeholders and SMEs to the data science projects through agile development. Advised internal IT teams on best practices for data science model development & deployment and cloud migration
- Awarded star performer for mentoring the analytics team
Data Scientist
PPL
12.2016 - 12.2017
- Designed, built and implemented two recommendation engines mapping artists and rightsholders to recordings.
- Instrumental in helping release £ MMs to members and improve processes within Data Quality team. Improvement in research time of 96% and key artists added increased from baseline 30% to 93% of recordings
- First to introduce and implement ML-based analytics tools using Spark and Hadoop
- Advised on contract renegotiation, by quantifying value of music broadcast on radio and TV
Research Software Engineer
Metafused
08.2015 - 04.2016
- Collected and implemented document understanding pipelines (topic modelling, clustering) on 150GB Twitter data with the purpose of identifying influencers in monetizable markets.
Organisational Consultant
Mongol Daatgal LLC
03.2013 - 07.2015
- Designed and implemented the first large-scale insurance survey in MGL. Built and led a team of 8 RAs
- Advised on car insurance product design and pricing: designed and implemented randomisation of contractual terms to insurance buyers via SMS program. Identified that the large empirical risk (those with higher coverage have 50% higher claims) is driven by adverse selection and not moral hazard.
- Advised Financial Regulatory Commission on making insurance compulsory and loss reserving
Graduate Teaching Assistant
LSE and UCL
09.2009 - 07.2015
- Taught mathematics, statistics, econometrics and industrial organisation BSc, MSc and PhD students
Education
MPhil - Economics
London School Of Economics And Political Science (LSE)
London, UK2015
MRes - Econometrics
London School Of Economics And Political Science (LSE)
London, UK2010
Bachelor of Science - Economics
London School Of Economics And Political Science (LSE)
London, UK - First class honours2008
Skills
- Mentor data scientists and engineers to deliver results quickly
- Developing and delivering cutting edge solutions using AI in NLP/CV/Gen AI spaces
- Cloud infrastructure: AWS Azure AI/ML stack
- Programming: Python, R, Spark
Timeline
Senior Applied Scientist
Microsoft
11.2020 - Current
Lead Data Scientist, Deep Learning
Amazon Web Services
04.2019 - 09.2020
Lead Data Scientist
Barclaycard
12.2017 - 04.2019
Data Scientist
PPL
12.2016 - 12.2017
Research Software Engineer
Metafused
08.2015 - 04.2016
Organisational Consultant
Mongol Daatgal LLC
03.2013 - 07.2015
Graduate Teaching Assistant
LSE and UCL
09.2009 - 07.2015
MPhil - Economics
London School Of Economics And Political Science (LSE)
MRes - Econometrics
London School Of Economics And Political Science (LSE)
Bachelor of Science - Economics
London School Of Economics And Political Science (LSE)
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