👋 About Me
I am Valente Lam, a data analytics professional with over seven years of experience in finance, hospitality, and technology. Currently pursuing a part‑time Master of Technology in Artificial Intelligence Systems at the National University of Singapore, I specialize in bridging technical execution with strategic business impact.
- Industry Experience: 7+ years delivering analytics and AI solutions across finance, hospitality, and technology sectors.
- AI‑Driven Impact: Designed solutions that enhance compliance, automate processes, and uncover actionable insights.
- Technical Expertise: Built resilient data pipelines, fraud detection models, and interpretable machine learning systems.
- Enterprise Readiness: Proven ability to translate complex algorithms into scalable, business‑ready solutions.
- Educational Foundation: Strong background in Business Analytics, advanced expertise in AI and machine learning.
- Leadership Vision: Committed to shaping Singapore’s digital ecosystem through responsible, ethical, and scalable AI adoption.
👔 Experience
SS&C
Business Analyst Manager
- Performed root cause analysis and identify areas of improvement, performed data cleaning and transformation to automate process. Improving accuracy and efficiency by over 70% and reducing manually error.
Marina Bay Sands
Senior Data Analyst
- Design, develop, and maintain interactive performance dashboards and reports in Tableau to drive executive decisions on revenue, anti-corruption, AML, and guest behaviour.
- Built scalable, automated ETL pipelines with Python and SQL, reducing manual data-prep effort by 40% and increasing processing throughput.
- Led a cross-department initiative to develop a PII redaction pipeline for PDF reports using multiple OCR models, enhancing data privacy compliance and text-recognition accuracy.
- Devised a hybrid model with strong emphasis on interpretability for detecting corruption and money laundering, clearly conveying the rationale behind model decisions.
J.P. Morgan
Business Analyst
- Translated business requirements into automated data ingestion and transformation processes using SQL, Python, and event-log mining; implemented metrics to track processes, improving efficiency by 30%.
- Supported machine-learning initiatives (anomaly detection) by conducting descriptive analysis and crafting analytical reports that influenced cross-functional stakeholders.
- Developed a Python-based Machine Learning Email Classifier Model in collaboration with cross-functional teams, generating insightful analytical reports to communicate valuable findings.
- Optimized machine learning models using historical data to predict settlement failures with 70% accuracy; developed and maintained Tableau dashboards to monitor settlement failures and key financial KPIs, fueling risk-mitigation strategies.
Cognizant Technology Solutions
Business Analyst
- Developed and maintained interactive Tableau dashboards and Excel reports to visualize user engagement, daily active users, and retention trends, informing product decisions.
- Built robust ETL pipelines with SQL and Python to gather and clean multi-source data, cutting 4 hours of manual work per month.
- Designed and executed A/B tests on UI enhancements; applied clustering and statistical analysis to boost retention rates by 20%.
- Defined and automated new user-behaviour metrics via Excel VBA scripts, generating insights that guided targeted marketing strategies and reduced resource load by 5 FTE.
📚 Education
🎓 Master of Technology in Artificial Intelligence Systems (MTech AIS)
NUS — In Progress
- Practice-based programme covering Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
- Applications across robotics, autonomous vehicles, IoT, smart cities, and enterprise AI systems.
- Emphasis on Explainable & Responsible AI, AI cybersecurity, and MLSecOps practices.
- Capstone project with industry collaboration to deliver impactful AI solutions.
🎓 Bachelor of Science in Business Analytics
Singapore University of Social Sciences (SUSS)
- Applied business acumen and analytics expertise to transform raw data into actionable insights supporting executive decision‑making.
- Completed 65 credit units of core analytics modules including statistics, forecasting, optimisation, and data mining, building a strong technical foundation.
- Delivered real‑world projects and capstone assignments that mirrored industry challenges, ensuring job‑ready applied analytics skills.
- Pursued minors and electives (ICT, FinTech, Marketing) to broaden adaptability across diverse industries.
- Earned professional certifications such as Google Analytics and AWS Certified Machine Learning, strengthening technical credibility.
- Developed strong skills in data storytelling and stakeholder communication, enabling clear translation of analytics into business strategies.
- Engaged in student interest groups and innovation forums, cultivating collaboration, adaptability, and leadership potential.
📊 Diploma in Financial Business Informatics
Temasek Polytechnic
- Hands‑on experience in data visualisation, analytics lifecycle, and predictive modelling using industry tools.
- Built strong foundations in database application development, data structures & algorithms, and computational thinking.
- Completed internships with organisations applying analytics to real‑world business challenges.
- Practiced applied learning at the Analytics Innovation Centre (SAS collaboration), developing business intelligence solutions in a data‑rich environment.
- Developed smart applications leveraging machine learning, deep learning, and AI fundamentals.
📂 Personal Projects
NLP Email Classifier
Python
NLP
Automation
Automated categorization of emails into robotic automation workflows.
- Classifies incoming emails by topic
- Integrates with RPA pipelines
PII Redaction Pipeline
Python
OCR
PDF Processing
OCR-based system to detect and mask sensitive information in PDFs.
- Detects PII in scanned documents
- Masks sensitive fields automatically
Movie Recommendation System
Python
NLP
Text Mining
Sentiment-driven recommender using text mining and NLP.
- Analyzes movie reviews for sentiment
- Generates personalized recommendations
Computer Vision Object Detection
Python
CNN
Image Recognition
CNN-based pipeline for image recognition tasks.
- Detects objects in real-time
- Supports multiple image classes
Music Identification Tool
Python
Audio Processing
Signal Analysis
Audio fingerprinting system to classify sound clips in noisy environments.
- Generates unique audio fingerprints for each track
- Robust classification even in noisy conditions
- Supports real-time identification of sound clips
🛠️ Skills
📊 Business Analytics
Business Acumen
Change Management
Data Visualization &
Storytelling
Process Improvement
Requirements Gathering
Stakeholder Communication
📈 Data Analytics
Data Cleaning & Pre-processing
Exploratory Data Analysis (EDA)
Reporting & Dashboard Creation
🧪 Data Science
Database Querying
Data Engineering
Feature Engineering & Model
Selection
Machine Learning Algorithms
Model Evaluation
Statistics
🤖 AI & ML
Computer Vision
Deep Learning
Generative Models
Model Deployment & MLOps
Natural Language Processing
Optimization Techniques
Reinforcement Learning
⚙️ Tools
Alteryx
MSSQL
Microsoft Application
My SQL
PowerBi
Sharepoint
SPSS
Tableau
UiPath
🌟 Soft Skills
Stakeholder Communication
Project Management
Solution Design