Luvleen Rehal
Software Developer
Hello
Here's who I am & what I do
My name is Luvleen Rehal, and I am a Software Developer with an Honours Bachelor of Science in Computer Science and Applied Statistics from the University of Toronto. I have hands-on experience developing, testing, and supporting enterprise applications, including my previous role as a Software Developer in Test at Oracle and my current role as a Microsoft Dynamics 365 CRM Developer at Modax. I am passionate about building reliable, scalable software solutions and have a strong interest in data-driven technologies and artificial intelligence as they continue to shape modern systems and business platforms.
Feel free to contact me anytime!
RELEVANT EXPERIENCE
Modax ERP
Dec 2023 - Current
Microsoft Dynamics 365 CRM Developer
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Develop, customize, and test Microsoft Dynamics 365 CRM solutions using C# (.NET) and JavaScript, improving system performance and functionality by 25%
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Design and automate business workflows using Power Automate, including approvals, data synchronization, and event-driven triggers across Dynamics 365, Microsoft 365, and third-party systems
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Deploy and support CRM solutions using CI/CD pipelines in Azure DevOps, design SSRS reports, and utilize XrmToolBox for configuration, debugging, and optimization
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Collaborate with stakeholders in Agile environments to gather requirements, document technical specifications, and contribute across the full SDLC, including development, testing, deployment, and UAT support
Oracle
May 2022 - April 2023
Software Developer in Test Intern
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Designed and implemented comprehensive automation test suites for cloud-based applications using Selenium, in specific focusing on the Oracle Sales Cloud application and Eloqua
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Supported the team in executing manual and automated regression tests across multiple software releases, ensuring product functionality and stability
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Documented and optimized Quality Assurance (QA) processes, creating detailed Standard Operating Procedures (SOPs) to enrich the internal knowledge base and enhance team efficiency
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Proactively identified and resolved complex issues within automation pipelines, leading to an improvement in test coverages and significantly enhancing product quality
CRMWebX Inc.
May 2021 - August 2021
Data Science Intern
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Assisted the front-end development team with identifying, fixing, and refining bugs, collaborating effectively to enhance user experience
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Analyzed and processed complex data sets using analytical tools such as Excel, Visual Studio Code and R. Applied advanced statistical methods, including regression analysis and clustering, to derive meaningful insights and relationships
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Reviewed design documents and leveraged my knowledge of its implementation in coding and testing procedures
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Prepared month-end reports for the front-end development team and assisted in formulating SSRS reports using Visual Studio
Honours Bachelor of Science in Statistics and Computer Science
2019 - 2024
University of Toronto
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Relevant Computer Science courses taken: Introduction to Computer Programming, Introduction to Computer Science, Software Design and Object-Oriented Programming, Theory of Computations, Principles of Programming, Computers and Society, Introduction to Mobile Robotics
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Relevant Statistic courses taken: Introduction to Probability and Modelling, Probability and Statistics I, Probability and Statistics II, Applied Probability, Regression Analysis, Experimental Design, Survey and Sampling
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Other Relevant courses taken: Mathematical Proofs, Differential Calculus, Integral Calculus, Calculus of Several Variables, Linear Algebra I, Machine Learning
PROJECTS
01
Digital Distribution System for Video Games
A digital distribution system for video games that allows users to buy or sell access to games. Users can login/logout and purchase games or refund games. Other options include creating a user, putting up a game for sale, cancelling a game for sale, add credit and auction sale.
02
Treemap Visualizer
A program that implements data structures of trees and creating a visualization of files and folders. It takes in a hierarchichal data source such as a folder and stores it in a tree data structure. An interactive graphical window using pycharm shows a teemap visualisation of this data. Used python and pygame libriary to implement it.
*If you'd like more info on this project, please contact me directly.
03
Uber Simulation
A program that works as an uber simulation. Riders can request/cancel a driver, and drivers can request/cancel a rider. The driver can pick up and drop off the rider. Also, a report displays the average wait time of the riders, the average distance drivers have driven and the average distance drivers have driven on rides.
*If you'd like more info on this project, please contact me directly.
04
UniQua Chatbot
A chatbot that allows users to interact with it. The bot asks the users to give the university programs they are interested in and their current averages in grade 12. Then, it uses this information to analyze and report the best university and program decision that is unique to them.
05
Heart Disease Prediction from Chest Pain
A data visualization program that analyzes the relationship between chest pain and heart disease. The data collected from Kaggle was used to model the prediction that as the chest pain type increases, the likelihood of individuals having heart disease also increases and that chest pain is the more important predictor.
06
Role of Academic Advising in Student Success
A data analysis to understand the relationship between academic advising services at the University of Toronto and how it contributes to a statistics student's success. Data was collected through an online Google form questionnaire and visualized using RStudio. We found that the academic services do not contribute greatly to success.
