Sangbin L.
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Sangbin L. Email & Phone Number

Data Engineer at Samsung SDS Europe
Location: United Kingdom 10 work roles 4 schools
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Current company
Role
Data Engineer
Location
United Kingdom
Company size

Who is Sangbin L.? Overview

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Sangbin L. is listed as Data Engineer at Samsung SDS Europe, a with 214 employees, based in United Kingdom. AeroLeads shows a matched LinkedIn profile for Sangbin L..

Sangbin L. previously worked as Full Stack Data Engineer at Study Hall Ltd and Data Scientist at Xai Land (자이랜드[주]). Sangbin L. holds Master Of Science - Ms, Spatial Data Science And Visualisation from Ucl.

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Samsung SDS Europe

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Profile bio

About Sangbin L.

I’m an AI Data Engineer with experience in developing data pipelines, automating processes, and leveraging machine learning. At Study Hall, I’ve been working on personalized learning systems and managing cloud infrastructure using Python, GCP, and PostgreSQL. I also contribute as a part-time Spatial Data Scientist, where I helped build an automated valuation model for the Korean real estate market that has shown impressive accuracy.In addition to my technical background, I’ve spent time as a financial journalist, writing top-ranked articles on real estate and finance, and I’ve founded an education startup that secured $100K in angel investment. I’m also the author of Korean Proptech: The Future of Real Estate, a book that helped introduce the concept of proptech to Korean readers. These varied experiences have given me a broad perspective on how data and technology can make a real-world impact.

Current workplace

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Samsung SDS Europe
Samsung Sds Europe
Data Engineer
United Kingdom
Website
Employees
214
AeroLeads page
10 roles

Sangbin L. work experience

A career timeline built from the work history available for this profile.

Full Stack Data Engineer

Current

London, England, United Kingdom

Developed an Assessment Engine and Recommendation Service using Python for personalized learning content extraction• Managed and optimized 100+ tables related to learning content, learners, and schools using PgAdmin and DBeaver• Optimized deployment pipeline for the Assessment Engine and eBook pipeline, shifting to Cloud Run for improved performance

Nov 2022 - Present

Data Scientist

Current

• Developed an automated valuation model (AVM) for the Korean real estate market using XGBoost, achieving a better performance (MdAPE 3.3%) than Zillow AVM.• Implemented a data pipeline on Google Cloud Platform for model training and prediction, cleaning and geotagging 38 million data points from various sources.• Leveraged geographically weighted regression and clustering techniques to improve model performance.

Apr 2023 - Present

Student Researcher

Ucl

London, United Kingdom

Conducted a variety of the self-motivated urban & spatial research in the Bartlett Centre for Spatial Advanced AnalysisDeep Learning based Human Body Size Measurement Application (Mar 2022 - Sep 2022)Conducted a pro-retail computer vision based deep learning research to develop the anthropometry (body measurement) application with a higher accuracy. Using TensorFlow and OpenCV in Python, the app based on BodyPix and COCO(Common Objects in Context) achieved 95.84% of… Show more Conducted a variety of the self-motivated urban & spatial research in the Bartlett Centre for Spatial Advanced AnalysisDeep Learning based Human Body Size Measurement Application (Mar 2022 - Sep 2022)Conducted a pro-retail computer vision based deep learning research to develop the anthropometry (body measurement) application with a higher accuracy. Using TensorFlow and OpenCV in Python, the app based on BodyPix and COCO(Common Objects in Context) achieved 95.84% of accuracy in the experimentation of capturing the 4 body dimensions (arm length, leg length, chest girth and hip girth) for 10 volunteer subjects, which outperformed some of the previous DL research presenting 95.59% (Foysal et al., 2021) and 95.72% (Xiaohui et al., 2018). Flood AR - Am I at Risk? (Jan 2022 - May 2022)Built up an augmented reality web application that guides which flood risk zone of London the user is located in. Acquiring GPS location information from the user's smartphone, the app allows the user to interactively check the flood zone, flood alert and flood history of the locations. Aside from the AR application, I co-led the team, Delugeo, and created the webpage to raise the public's awareness the global and local flood vulnerability by visualising the related data. The project was acclaimed as one of the best projects in the programme and introduced as a sample work in the centre's promotion video. ▲ Project Website: https://nfabsikova.github.io/delugeo/▲ Web app: https://s-n-b-n.github.io/a/a.htmlLocation-Based AR Property Price Marker Application (Jan 2022 - Mar 2022)The application displays 2,366 price records of London Borough of Camden and Hackney sampled from 435,272 records in UK Land Registry's Price Paid Data. Using AR, the user can check the paid price for residential transactions via smartphone camera in real time. For geocoding, pgeocode package of Python was used. ▲ Price marker app: https://s-n-b-n.github.io/CASA0003/price.html Show less

Sep 2021 - Aug 2022

Journalist

Jung-Gu, Seoul, Korea

Real Estate News Desk covering Housing, Real Estate Market and Urban Issues.

Jul 2016 - Jul 2021

Founder

Mntr

Seoul, South Korea

Founded a startup team. Made the minimal prototype of the data-driven education and course recommendation service, MNTR. Was able to successfully secure $100k angel investment. 2nd Winner awarded by TechStars.

Mar 2019 - Dec 2019

Journalist

Jung-Gu, Seoul, Korea

Worked in RealtyGo, Real Estate Spinoff Media of the Chosunilbo, Korean largest news outlet.

Jan 2018 - Feb 2019

Consultant

Ey

Yeongdeungpo-Gu, Seoul, Korea

Contributed to ‘Life Cycle Retail Marketing Segmentation Strategy Project’ (teamed with SAS Institute Inc.) of Woori Bank (KOSPI:000030) HQ in Seoul, Korea by collaborating with data scientists to extrapolate meaningful data that produced results for Woori Bank.

Jan 2016 - Mar 2016
Team & coworkers

Colleagues at Samsung SDS Europe

Other employees you can reach at samsungsds.com. View company contacts for 214 employees →

4 education records

Sangbin L. education

Master Of Science - Ms, Spatial Data Science And Visualisation

Ucl

Math, Physics, Biology, Law, Computer Science, English, Chinese

Myungduk Foreign Language High School

Top 1% at National College Scholastic Ability Test (CSAT) Korea

FAQ

Frequently asked questions about Sangbin L.

Quick answers generated from the profile data available on this page.

What company does Sangbin L. work for?

Sangbin L. works for Samsung SDS Europe.

What is Sangbin L.'s role at Samsung SDS Europe?

Sangbin L. is listed as Data Engineer at Samsung SDS Europe.

Where is Sangbin L. based?

Sangbin L. is based in United Kingdom while working with Samsung SDS Europe.

What companies has Sangbin L. worked for?

Sangbin L. has worked for Samsung Sds Europe, Study Hall Ltd, Xai Land (자이랜드[주]), Ucl, and Chosunbiz.

Who are Sangbin L.'s colleagues at Samsung SDS Europe?

Sangbin L.'s colleagues at Samsung SDS Europe include Jatin Arora, 강상욱, Taehoon Kim, Yutak Kim, and Minku Sung.

How can I contact Sangbin L.?

You can use AeroLeads to view verified contact signals for Sangbin L. at Samsung SDS Europe, including work email, phone, and LinkedIn data when available.

What schools did Sangbin L. attend?

Sangbin L. holds Master Of Science - Ms, Spatial Data Science And Visualisation from Ucl.

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