I am a driven and forward-thinking Computer Science student specializing in Artificial Intelligence, with strong industry experience in data science and machine learning. During my time at Knorr-Bremse Digital Solutions & Engineering, I contributed to predictive analytics and business forecasting using ML models, turning data into actionable insights. I have hands-on experience with Power BI and Microsoft Fabric for dynamic dashboards and scalable data solutions that support data-driven decision-making. I am actively expanding my skill set in deep learning, with a strong focus on computer vision and natural language processing (NLP). I am passionate about the transformative power of AI and committed to applying intelligent systems to solve complex, impactful problems across industries.

Rashen Rajapaksha

I am a driven and forward-thinking Computer Science student specializing in Artificial Intelligence, with strong industry experience in data science and machine learning. During my time at Knorr-Bremse Digital Solutions & Engineering, I contributed to predictive analytics and business forecasting using ML models, turning data into actionable insights. I have hands-on experience with Power BI and Microsoft Fabric for dynamic dashboards and scalable data solutions that support data-driven decision-making. I am actively expanding my skill set in deep learning, with a strong focus on computer vision and natural language processing (NLP). I am passionate about the transformative power of AI and committed to applying intelligent systems to solve complex, impactful problems across industries.

Available to hire

I am a driven and forward-thinking Computer Science student specializing in Artificial Intelligence, with strong industry experience in data science and machine learning. During my time at Knorr-Bremse Digital Solutions & Engineering, I contributed to predictive analytics and business forecasting using ML models, turning data into actionable insights. I have hands-on experience with Power BI and Microsoft Fabric for dynamic dashboards and scalable data solutions that support data-driven decision-making.

I am actively expanding my skill set in deep learning, with a strong focus on computer vision and natural language processing (NLP). I am passionate about the transformative power of AI and committed to applying intelligent systems to solve complex, impactful problems across industries.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Sinhala, Sinhalese
Advanced

Work Experience

Automation & ML Engineer at Knorr-Bremse Digital Solutions & Engineering
July 1, 2024 - Present
Automated serial number profile alignment using RPA (Automation Anywhere) by integrating Python, VBScript, and SAP navigation scripts; built data tables in Snowflake with SQL for bot processing. Extracted and analyzed over 1,000 Engineering Change Task PDFs from SAP; used NLP techniques in Python to process the 'handling explanation' sections and classify tasks. Developed and trained ML models using Scikit-Learn, Pandas, and NumPy to understand task context and automate task closure in SAP via RPA. Built a Fleet Reliability Dashboard in Power BI, connected to Snowflake via Microsoft Fabric, visualizing failure patterns by fleet, component, and department. Used Power Automate to trigger and schedule automated email reports for key stakeholders. Collaborated with cross-functional teams to translate business requirements into automation solutions.
Data Analyst & Content Creator at Cricket Direct
July 1, 2020 - July 1, 2022
Managed and updated daily sales reports using Microsoft Excel, ensuring accurate tracking of sales data and trends. Analyzed return rates and sales performance across product components to support business decisions and inventory planning. Designed and developed a Power BI dashboard to visualize data metrics such as product return trends, sales growth, and performance by category. Implemented Power Automate triggers to flag unusual spikes in return data, enabling proactive responses from operations teams. Assisted in building a simple, responsive company website using React.js, HTML, and CSS, enhancing digital presence and customer experience. Created and edited product-focused digital content, including promotional videos and short-form media, contributing to improved product visibility and engagement.
Lab Assistant at Brunel University
October 1, 2024 - April 1, 2025
Supported first-year Computer Science students in debugging Java programs and improving code structure and logic during lab sessions. Assisted students with SQL scripting, helping them understand database queries, relational models, and data manipulation. Guided students through Logic and Computation lab sheets, clarifying foundational computer science concepts and problem-solving strategies. Provided hands-on assistance with the SwiftBot robotics project, troubleshooting issues with the Raspberry Pi boards and programming challenges.
Software Engineer & BI at One Solution Software
August 1, 2022 - October 1, 2022
Gained hands-on training in Power BI, including data modelling, report creation, and dashboard design for business intelligence use cases. Completed a Microsoft Azure Fundamentals course, gaining foundational knowledge in cloud concepts, core Azure services, security, compliance, and pricing. Worked with Azure SQL Databases, learning how to manage cloud-based relational data and perform basic data operations.
Automation & Data Analytics Engineer at Knorr-Bremse Digital Solutions & Engineering
July 1, 2024 - Present
Automated serial number profile alignment using RPA (Automation Anywhere) by integrating Python, VBScript, and SAP navigation scripts; built data tables in Snowflake with SQL for bot processing. Extracted and analyzed over 1,000 ECT (Engineering Change Task) PDFs from SAP; used NLP techniques in Python to process the “handling explanation” sections and classify tasks. Developed and trained ML models using Scikit-learn, Pandas, and NumPy to understand task context and automate task closure in SAP via RPA. Conducted data-driven analysis of return material quality performance, evaluating component behaviour over time and identifying early failure trends using Python and Pandas. Built a Fleet Reliability Dashboard in Power BI, connected to Snowflake via Microsoft Fabric, visualizing failure patterns by fleet, component, and department. Utilized Power Automate to trigger and schedule automated email reports for key stakeholders, improving communication across departments. Collaborated w
Software Engineer & Business Intelligence at One Solution Software
August 1, 2022 - October 1, 2022
Gained hands-on training in Power BI, including data modelling, report creation, and dashboard design for business intelligence use cases. Completed a Microsoft Azure Fundamentals course, gaining foundational knowledge in cloud concepts, core Azure services, security, compliance, and pricing. Worked with Azure SQL Databases, learning how to manage cloud-based relational data and perform basic data operations.

Education

BSc (Hons) Computer Science (AI) at Brunel University
September 1, 2022 - December 11, 2025
BSc (Hons) Computer Science (AI) at Brunel University
September 1, 2022 - December 11, 2025

Qualifications

Complete AI & Machine Learning, Data Science Bootcamp, Udemy
January 1, 2024 - December 11, 2025
Full stack web development, Udemy
January 1, 2023 - December 11, 2025
YOLOv7 - YOLOV11 Deep learning course, Udemy
January 1, 2021 - December 11, 2025
Microsoft Azure Fundamentals
August 1, 2022 - December 11, 2025
Complete AI & Machine Learning, Data Science Bootcamp
January 1, 2024 - December 11, 2025
Full stack web development
January 1, 2023 - December 11, 2025
YOLOv7 - YOLOv11 Deep learning course
January 1, 2021 - December 11, 2025

Industry Experience

Computers & Electronics, Education, Manufacturing, Software & Internet, Professional Services