LINGSHI LI
Summary
An experienced data scientist with strong analytical ability, sound knowledge of machine learning and a passion in bringing together next-gen technologies and data to solve business problems. Having demonstrated success over the past 4 years in identifying relationships and building solutions to business problems through machine learning and analytics, Lingshi is a reliable and competent team player empowered with positive attitude in the field of data science and information technology.
Overview
4
4
years of professional experience
Work History
Data Scientist (Analytics Solution)
StarHub
07.2021 - Current
- Collaborate with internal/external stakeholders, identifying and gathering analytical requirements for customer, product and projects needs with expected revenue of $3.5M annually
- Prototyping dashboard solutions to address business problems for both internal and external clients. Solutions mainly pertain to geospatial, footfall analytics and persona recommendation in the area of digital marketing, sales and media monitoring
- Developed Business Intelligence dashboard powered with Geospatial visualization and analytics to assist Sales Department with customer acquisition and retention. Techniques involved includes webscraping, API calls, NLP and geospatial visualisations
- Leveraged on Geospatial Analytics techniques and footfall analysis to identify sites for StarHub stores/distributors to optimise coverage
- Data product (personas and moments) developers of our in-house AI Marketing Engine for digital audience identification, targeting and expansion with expected profit of $2M annually
- Developed and productionalised predictive models using machine learning algorithms on AWS. ML problems includes Age Band Prediction, Travel and Visit Intent
Associate Data Scientist
DXC Technology
04.2020 - 07.2021
- Worked closely with business stakeholders to identify potential pain points through design-thinking engagements
- Conceptualized business problems and propose technology/data science solutions based on specific use cases
- Given the mandate to guide a team of 6 to build proof-of-concept solutions in an agile environment
- Successfully delivered prototype demonstrations and business presentations with various business stakeholders, together with the team members and higher managements
- Proof-of-concept solutions include: Anti-microbial Prescription, Conversational AI and Contact Tracing; the solution and technology stack were adopted by Delivery department as a product offering.
Data Engineer/ SAS Developer
DXC Technology
10.2019 - 07.2021
- Guided junior developers on technology refresh and rectification of ETL pipelines for Data Warehouse due to changes in data sources
- Communicated with business stakeholders, technology lead and internal developers to ensure alignment of requirements upon assessing the impacts on ETL jobs and reports
- Conducted daily support for end-users' technical queries and provide timely solutions which ranges from simple SQL queries to investigating the whole data flow pipeline
- Proposed new ETL pipelines and rectify current ETL flows based on business requirements; some tools used includes SAS EG, DI Studio and Oracle SQL.
SAS Business Intelligence and Analytics Trainee
06.2019 - 09.2019
- Underwent four months of intensive training in big data management, visualization and machine learning under the SAS BIA programme, a IMDA's Company-Led Training (CLT) initiative to recruit and train fresh professionals in Business Intelligence and Analytics.
- Successfully obtained global certifications in Base Programmer for SAS 9, Big Data Professional Using SAS 9, and Predictive Modeler Using SAS Enterprise Miner 14.
- Demonstrated data science capabilities through final project. These includes performing feature selection, feature engineering, user profiling and model building (Decision Trees, Logistic Regression and Market Basket Analysis) on ecommerce data.
Education
Bachelor of Science (Hons) - Applied Mathematics W/ Economics, Operational Research and Financial Mathematics
National University of Singapore (NUS)
Singapore06.2019
Computational Mathematics
Royal Institute of Technology (KTH)
Stockholm, Sweden01.2018
Skills
- Technology solutioning, Cloud Technology (AWS), Data Analytics, Geospatial Analytics, Machine Learning, Deep Learning, Data Visualisation, Spark Processing (Pyspark)
- Programming Language: Python, Base SAS, R, SQL
- Technology/Software: AWS, SAS EG, SAS DI Studio, ELK stack, Kafka, Neo4j, Dialogflow, Tableau, PowerBI, SQL Server Management Studio (SSMS), QlikSense, QGIS, Airflow
Accomplishments
- Deep Learning Specialization by deeplearning.AI
- AWS Certified Cloud Practitioner
- SAS Certified Predictive Modeler using SAS Enterprise Miner 14
- SAS Certified Big Data Professional Using SAS 9
- SAS Certified Base Programmer
Timeline
Data Scientist (Analytics Solution)
StarHub
07.2021 - Current
Associate Data Scientist
DXC Technology
04.2020 - 07.2021
Data Engineer/ SAS Developer
DXC Technology
10.2019 - 07.2021
SAS Business Intelligence and Analytics Trainee
06.2019 - 09.2019
Bachelor of Science (Hons) - Applied Mathematics W/ Economics, Operational Research and Financial Mathematics
National University of Singapore (NUS)
Computational Mathematics
Royal Institute of Technology (KTH)
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