Nithik Vijayanand
Melbourne
Summary
Third-year Bachelor of Applied Data Science student at Monash University, passionate about uncovering trends and patterns in data to solve real-world problems. Skilled in data wrangling, visualisation, and modelling, developed through hands-on experience in academic and personal projects. Driven by curiosity and a problem-solving mindset, with a focus on translating complex datasets into meaningful insights. Recently contributed to a group project involving medical imaging, highlighting the impact of data science in healthcare innovation.
Overview
4
4
years of professional experience
Work History
Library Shelver
Monash Public Library Service
Mount Waverley
08.2021 - Current
- Shelved an average of 120 books per hour, with speed and accuracy, while maintaining a clean, well-organized library environment.
- Assisted patrons by answering general queries, guiding them in locating materials, understanding the dewey decimal system and navigating the library and our services.
- Provided friendly, helpful customer service while supporting daily library operations, including returns, displays, and shelving maintenance.
Badminton Coach
Badminton Academy of Victoria
Mount Waverley
03.2021 - Current
- Coached children and young adults (ages 5–23), delivering tailored training that built foundational skills for beginners, and advanced techniques for intermediate players.
- Taught fundamental techniques such as footwork, grip, and stroke mechanics, while introducing advanced strategies for experienced players.
- Maintained strong parent and client relationships by delivering regular updates on student progress and addressing questions or concerns professionally.
- Led engaging group and individual sessions, fostering skill development, teamwork, and confidence in a supportive environment, leading to noticeable improvements in player performance
Education
Applied Data Science (Honours) - Information Technology
Monash University
Clayton, VIC10-2026
Skills
- Data analysis
- Machine learning
- Statistical modeling
- Data visualization
- Neural networks
- Software programming
- Excel proficiency
- Statistical forecasting
Computing Languages
- Python
- R
- Kotlin
- MATLAB
Projects
Monash University Science Project July 2024 - October 2024
Worked in a team over 12 weeks to develop a deep learning pipeline for multi-label classification of chest radiographs, focusing on detecting the presence and malpositioning of catheters and tubes. Responsibilities included medical image preprocessing, advanced feature extraction, model training using convolutional neural networks (CNNs), and evaluation through ablation studies to assess feature contributions and improve model performance.
- Built and fine-tuned convolutional neural networks (CNNs) to classify and detect malpositioned lines and tubes in chest X-ray images
- Performed data wrangling, feature engineering (grayscale, texture, spatial features), and exploratory analysis to optimise model inputs
- Collaborated effectively in a multi-disciplinary team, contributing to data processing and reporting, and adapting quickly to technical challenges
Soft Skills
- Team Collaboration
- Problem Solving
- Communication
- Analytical Thinking
- Time Management
References
References available upon request.
Timeline
Library Shelver
Monash Public Library Service
08.2021 - Current
Badminton Coach
Badminton Academy of Victoria
03.2021 - Current
Applied Data Science (Honours) - Information Technology
Monash University
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