Bio
I am a motivated software systems development student at South East Technological University (SETU) in Co. Waterford. In addition to my academic pursuits, I proudly serve as the Student Representative for my course at South East Technological University (SETU). In this role, I act as the primary contact between students and the course faculty, including the course head and the head of department of computing and mathematics. Through open communication and collaboration with university staff, I strive to find effective resolutions and ensure a supportive learning environment. My main interests rely in Machine Learning, Model Development for inference, Web Application Development, and Mobile Application Development.
Education
South East Technological University (SETU), Co. Waterford, Ireland
- B.Sc in Software Systems Development (Honors)
- Duration: September 2021 - May 2025
- Key Courses: Software Engineering, Data Structures and Algorithms, Database Systems, Mobile App Development, Web Development, Statistical Analysis, Computer Networks, Technology Entrepreneurship
- Achievements:
- Student Representative for the course
- First Class Honours for each academic year
Dungarvan College
- QQI Level 5 Information Technology & Multi-Media
- Duration: September 2020 - May 2021
- Key Courses: Computer Programming, Business, Graphic Design, Video Editing, Mathematics for Computer Science, Spreadsheets for business.
- Achievements:
- Student of the year with outstanding merit
- Graduated with Distinction
University College Cork, Ireland (Planned)
- M.Sc in Data Science & Analytics
- Expected Start Date: September 2025
Work Experience
Internship at Dataworks Limited
- Position: Software Engineer Intern
- Duration: July 2023 - December 2023
- Responsibilities:
- Collaborated in a dynamic team environment to develop and implement software solutions using C#, .NET, TypeScript, and Angular for the company’s diverse customer base.
- Contributed to the entire software development lifecycle, from concept and design to testing, deployment, and maintenance.
- Participated in code reviews, providing constructive feedback and ensuring code quality and best practices.
- Engaged in agile development methodologies, actively contributing to sprint planning, and daily stand-ups, Played a pivotal role in encouraging a collaborative and efficient workflow within the development team.
- Achievements:
- Proficiency using the C#, .NET, and Angular Development Stack
- Successfully collaborated with a team of developers to deliver projects on time
Eurospar - Abbeyside Dungarvan
- Position: Shop Assistant
- Duration: May 2018 - Present
- Responsibilities:
- Managed product ordering and inventory control for various departments, ensuring optimalstock levels and timely replenishment.
- Took on progressively increasing responsibilities, including overseeing the coordination of merchandise deliveries and implementing efficient stock control procedures.
- Collaborated with management to streamline communication and enhance overall store operations.
- Played a key role in the day-to-day operations, contributing to the store’s success and maintaining a positive customer experience.
- Achievements:
- Trained and mentored new employees
- Increased sales of tobacco & cigarette department by 32% year on year on average
Skills
- Programming Languages: Java, C#, Python, JavaScript, Java, HTML, CSS, SQL
- Web Development: React, Node.js, Express.js, MongoDB, Flask, Datatables.js
- Data Science: Pandas, NumPy, Scikit-learn, TensorFlow
- Tools: Git, Docker, GitHub, Figma, Office 365, Slack, SAP, AWS ECS, Linux, Power BI
- Soft Skills: Leadership, Communication, Problem-Solving, Time Management, Customer Service, Teamwork
Projects
Predicting Heart Disease
- Description: Built a classification model in Scikit-learn, trained on publicly available data, feature selection was done prior to training. Class labels were (heart disease or no heart disease). Logistic Regression was found to be the best classifier.
- Technologies Used: Pandas, Numpy, Scikit-learn, Matplotlib and Jupyter notebooks
- Achievements:
- Implemented a real-time inference model for predictions
- Achieved 88.52% accuracy on the test dataset
Automated Ordering System (Personal Project)
- Description: A system in which sale & stock reports can be uploaded via a web page and the backend comes back with a recommendation of stock to order
- Technologies Used: Python, Pandas, Flask, Bootstrap, Datatables, and PDFmake
- Achievements:
- Created a user-friendly web interface for report uploads and order recommendations.
- Achieved a 26% reduction in stock shortages by optimizing order recommendations based on sales data.
- Implemented PDF report generation for easy and professional documentation of order recommendations.
Thank you for taking the time to read my website. I’m always open to new opportunities and collaborations in the fields of software development and data science.
Contact
Feel free to reach out to me at [crottjj@gmail.com] or connect with me on LinkedIn.