Singapore

Data Scientist

Data engineering

Data Analysis

AI/ML Engineering

Bachelor of Engineering - BE

David Yam

Lead Cyber Security Data Scientist

Prototyping

Leadership

Analytical skills

AI/ML

Cloud computing

Machine learning

Python

Docker

Jupyter Notebook

GitLab

Pandas

Empathy

Stakeholder management

Communication

Collaboration

Presentation skills

Problem-solving

Public Speaking

Unit Testing

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Breaking into tech

Department: Cyber Analytics, EnsignLabs

Software utilized: Python, PySpark, Scala, Github, VirtualBox, Docker, Wireshark, Kali Linux, 

-- Work --
• Accountable for scoping, development and delivery of certain government, commercial and inter-BU analytics projects. Involved in commercial POCs and whole of government security analytics project with costing over $10M.
• Co-developed and maintenance of Cyber News Alert service, used by 15% of company staff with positive reviews
• Lead initiative to explore & define ideal model pipeline (unit test, build, deploy) and provided sample repository; also explored model tracking with various tools (e.g. MetaFlow, MLFlow) to improve MLOps.
• Mentor staff to simulate threats, evaluate security tools and create ML-based models for detection. 
Involved in screening & hiring, workplan goals setting and cross-team communication.
• Obtained GIAC Network Forensic Analyst (GNFA) Certification from SANS.
• Obtained AWS Solution Architect Associate from AWS.
            

    
    

    
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Department: Cyber Analytics, EnsignLabs

Software utilized: Python, PySpark, Scala, Github, VirtualBox, Docker, Wireshark, Kali Linux, 

-- Work --
• Lead technical delivery component of commercial R&D projects. Identified concept/approach, implemented various experiments and deployed solutions with adequate test cases. Also, provided knowledge transfer and documentation.
• Developed and aided in deployment of various Threat Detection Models (e.g. Beaconing, Tunnelling, Injection, DGA, Scanning) in PySpark, done via utilizing Machine Learning and Statistical-based Techniques on Network DNS & NetFlow data. 
• Simulated threat models (e.g. Reverse Shell, Port Knocking, Tunnelling) with VirtualBox VMs to obtain training datasets for Exploratory Analysis & Machine Learning.
• Streamlined team’s engineering practices to improve model quality, re-producibility and to accelerate deployment. This is achieved through better definition of code style, dependency requirements, documentation, & repository structure standards. Also, enforcing above engineering practices and enhancing them via feedback and collaborative discussions.
• Obtained Certified Ethical Hacker (CEH) v10 Certification from EC Council.
            

    
    

    
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Software utilized: Excel, PowerPoint, Word

--- Work ---
IT Consultant
• Managed Digitalisation efforts for internal Corporate Functions.
• Conducted Business Process Re-engineering (BPR) consultancy project for internal recruitment process.
• Organized company-wide roadshow for internal Design Thinking methdology (NCS DRIVE).

DataSpark Purpose: Provide mobility insights derived from Telecommunication devices at an aggregated level. (e.g. Where do people live/work? Where do they like to hangout? Where do they travel to/from?)

Software utilized: Python, Pyspark, Github, Scala, Maven, Tableau

--- Work ---
Consulting:
• Supported government projects: real time footfall counts & aggregated monitoring
• Involved in developing methodology for aggregated monitoring & in verification of accuracy
• Proof of Concept Analysis work on foreigner segments

Analysis/ Profiling:
• Determining of optimal configuration parameters for DataSpark Algorithms via profiling effort
• Localisation of DataSpark Algorithms in Regional Telecom (Thailand)
• Extraction of insights from Big Data platforms via custom Pyspark scripts

Modelling/ Targeting:
• Detection of High Value Segments via custom Pyspark scripts 
• Update & Improving of Machine Learning Models for Credit Scoring & Image verification

Product Development:
• Development of Data Profiling Toolkit with custom scripts in Pyspark
• Advancement of Data Profiling Tool source code in Scala
• Development of Automatic Config Generation, source code in Scala
            

    
    

    
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Mobile Marketing Department Purpose: Provide insights to other internal teams (Campaign/ Marketing/ Product) via building and deploying Machine Learning Models. Also supporting targeting efforts to improve churn/ take up.

Software utilized: SAS, SQL, R

--- Work ---
Analytics Operations
• Took over/ Managed 28 Predictive Analytics Models/ DataMarts and 3 Reports.
• Improved/ Automated 4-5 Predictive Analytic Models. 
• Developed and deployed customized solutions to improve security and archiving of data within team

Predictive Modelling
• Collaborated on solution to segment Prepaid market and predict take-ups.
- Based on Customer profile/ demographics/ interests/ usage/ current events
- Code base written in SAS, Model was based on Market Basket Analysis.
- Achieved 70% top-up prediction accuracy & 2.5x lift
- Deployed and utilized currently

Specialized Targeting
• Supported marketing team with efforts to target niche segments (e.g. Families/ News Lovers/ Prepaid users) for specialized/ attractive bundles, deals and promotions.
- Done via querying and analysing customer product take-up/  network data in SQL.
            

    
    

    
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The Singtel Management Associate Programme (MAP) is a fast-tracked placement programme that allows for 2-3 rotations within a time span of 2 years.
Graduates on the MAP can choose from Singtel's wealth of departments spanning  Group Consumer SG/ Group Enterprise/ Group Digital Life/ Group Functions.
Allows for breath of understanding Singtel's businesses as well as in-depth experience working in the line for each department.

For myself, i chose these departments to have a better understanding of applied Data Science & Consulting.

First Rotation - Group Consumer SG: Business Analytics & Market Resarch, Predictive Analytics
• Data Analyst & Operations Manager

Second Rotation - Group Digital Life: DataSpark
• Data Science Consultant

Third Rotation - NCS
• Consultant
            

    
    

    
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Department - Group Enterprise: Bid Management

Software utilized: Visual Basic Applications (VBA), R

Achievement:
• Awarded Best Intern award out of 46 other interns. (6 were masters students)

Work:
• Designed and Created 6 Excel Templates with use of VBA Coding, which resulted in: 
   Reduction of preparation time from 90-180mins to 15-30mins
   Reduction of human error to 0%
• Templates automatically report Revenue/ Cost/ Usage for Mobile Plans
• Templates currently utilised by the Mobile Pricing, Bid & Tactical and Product departments
            

    
    

    
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David Yam🇸🇬

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