Nuwan Hettiarachchi

Analyzed and processed demographic datasets including names and address data

Delivered cleaned datasets, analytical summaries, and operational reports

Improved existing processing workflows through documentation and redesign

Supported distribution and reporting operations with a focus on reliability and accuracy

Customized Voltage SecureMail branding for HSBC

Developed Phase‑I Hong Kong Exchange Traded Funds website with AJAX‑driven dynamic content

Implemented multilingual content toggling under SiaB CMS

Built and customized jQuery‑based widgets for the Global Fund Center project

Conducted client meetings and business analysis to translate requirements into software solutions

Mapped customer needs to enterprise systems including Accounting, Payroll, Inventory, and HRM

Produced UML‑based documentation to guide development teams

Led development teams through task allocation, monitoring, and daily reporting

Trained staff and authored system configuration and operational documentation

Implemented quality controls and statistical performance reporting

Designed and maintained an internal job‑tracking system

Developed a 360‑degree feedback system for HRM aligned with Swedish and Norwegian standards

Built a rich HTML editor for the DigiMaker Content Management System

Worked with VB, ActiveX, COM, and Java technologies

Python programming for data analytics, data science, and data engineering workflows

Data ingestion, preparation, transformation, and analysis using Pandas and NumPy

Data cleaning, validation, standardization, and data quality management techniques

Exploratory Data Analysis (EDA) to support business intelligence and decision-support

Statistical analysis concepts for trend analysis, hypothesis testing, and insight generation

Feature engineering and dataset preparation for analytical and predictive use cases

Data visualization and reporting using Matplotlib and Seaborn

Working with large, structured datasets and applying data profiling techniques

Implementation of data consistency checks, error handling, and reproducible workflows

Documentation of analytical logic, assumptions, and data definitions to support governance

Introduction to machine learning concepts and model evaluation (supervised learning)

Ethical data usage, responsible analytics practices, and governance-aligned workflows

Computer information systems architecture and enterprise application design

Database design, relational data modeling, normalization, and SQL fundamentals

Systems analysis and design using structured and object-oriented methodologies

Software development principles across desktop and web-based applications

Data structures, algorithms, and logical problem-solving techniques

Information systems security concepts and access control fundamentals

Systems documentation, requirements analysis, and technical specification writing

Data integrity, validation, and consistency principles supporting data quality

Introduction to network fundamentals and distributed systems concepts

Applied project work emphasizing structured development, testing, and maintainability

Fundamentals of computer-based information systems and business applications

Relational database concepts, data structures, and SQL fundamentals

Systems analysis and requirements gathering for business solutions

Data entry validation, accuracy controls, and consistency checking

Application development concepts for desktop and information systems

Information systems documentation and structured process design

Introduction to data security, access controls, and system integrity

Problem-solving using logical, analytical, and structured methodologies

Practical project work applying standards, documentation, and testing

Fundamentals of computer systems design and structured programming concepts

Introduction to database systems, data structures, and data organization principles (Clipper, DBase, SQL Server)

Systems analysis and logical design for business and technical requirements

Application development fundamentals and software lifecycle concepts

Data validation, integrity, and accuracy controls in system design

Technical documentation, flowcharts, and structured process modeling

Problem-solving using analytical and algorithmic approaches

Introduction to operating systems and basic networking concepts

Applied project work emphasizing structured design, testing, and reliability