Data Scientist in Python
Certification from Data Camp for Course Track completion
Data Scientist in Python
This certification focuses on production-ready data skills: reliable data importing, robust preprocessing, SQL for serious analysis, and Git-based collaboration, bridging the gap between exploratory notebooks and maintainable, real-world data solutions.
This certification strengthens my data science toolkit beyond Python alone. I learned to import web and API data, build clean features for machine learning, design reusable Python packages, query databases with SQL, and manage projects confidently with Git.
List of all courses completed
- Intermediate Importing Data in Python
- Preprocessing for Machine Learning in Python
- Developing Python Packages
- Machine Learning for Business
- Introduction to SQL
- Intermediate SQL
- Joining Data in SQL
- Introduction to Git
- Intermediate Git
Project and assessments completed
- Analyzing Students’ Mental Health (project)
- When Was the Golden Era of Video Games? (project)
What can I do with this?
With this certification, I can solve practical, production-focused data problems. I can pull data from files, databases, the web, and APIs; clean and preprocess it for machine learning; and structure it inside reusable Python packages. Combined with SQL, I can explore, aggregate, and join large datasets directly where they live, then track every change with Git so analyses remain reproducible and collaborative.
These courses gave me hands-on experience with the full workflow that sits between raw data and deployed models. I practiced importing complex sources, engineering features, and writing maintainable code rather than single-use notebooks. Through SQL projects, I worked end-to-end with realistic business questions, from understanding student mental health patterns to exploring the golden era of video games, always keeping version control in place for safe experimentation.
My next steps are to apply these skills on larger, real-world projects. I plan to build Python packages around reusable data pipelines, integrate SQL queries into dashboards and reports, and collaborate on Git-based repositories. Over time, I want to connect this stack with cloud platforms and orchestration tools, so I can ship automated, reliable data workflows that support analytics and machine learning in production environments.
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My Story
From Curiosity to Craft: My Journey in Technology and Analytics
My name is Nuwan Hettiarachchi, and my journey has been guided by curiosity, service, and a strong belief in using technology to create meaningful impact.
I began my professional path working closely with data, systems, and people. Early on, I realized that I enjoyed solving practical problems—especially those where analytical thinking and real-world needs intersect. This led me into data analytics, automation, and software development, where I’ve spent years building tools that improve accuracy, efficiency, and decision-making.
A defining part of my journey has been 10 years of volunteer teaching at a charitable organization. Teaching reinforced my belief that knowledge is most powerful when shared. It strengthened my communication skills, patience, and ability to break down complex ideas—skills that continue to shape how I design systems and collaborate with teams today.
Professionally, I’ve worked across data analysis, reporting, and application development. One notable experience was developing a Human Resources appraisal system over two years using Visual Basic and SQL Server, where I translated business rules into reliable, user-friendly software. Projects like this deepened my appreciation for clean data, thoughtful design, and systems that support people—not just processes.
Over time, my work expanded into Python, SQL databases, analytics, and automation, with a growing focus on data integrity and insight-driven solutions. I enjoy building tools that reduce manual effort, surface meaningful patterns, and enable better decisions.
Outside of work, I value balance and mindfulness. I enjoy hiking, traveling, kayaking, and spending time in nature—activities that keep me grounded and curious.
Today, I’m focused on contributing within data science and analytics–driven environments, continuing to learn, mentor, and build solutions that are practical, ethical, and impactful.
Software Engineer & Data Science| SQL, Analytics, and AI Solutions
Nuwan Hettiarachchi
I bring strong experience in data analytics and data engineering, with a focus on SQL-driven data preparation, data quality, and scalable processing pipelines. My background includes working with large, complex datasets, supporting business intelligence, and applying data governance principles such as profiling, lineage, and documentation. I am known for collaborating effectively across teams to design clear, reliable data solutions that support informed decision-making.
Phone
(604) 256-2432
Surrey BC, Canada