OBJECTIVE
Aspiring DevOps Engineer with a strong foundation in cloud computing (AWS), test automation and
software development, seeking to leverage my skills in CI/CD pipelines, infrastructure as code, and cloud-
native solutions to enhance software delivery and operational efficiency. With hands-on experience in
automated testing, scripting, system integration, and secure cloud deployment, I aim to contribute to
building scalable, reliable, and high-performance systems in a collaborative DevOps environment.
KEY SKILL
- Software: AWS, JavaScript, Python [Selenium, Threading, Real-Time Analysis, PyQt5, GUI, Tkinter, Machine Learning (Scikit-learn), Data Analysis (Pandas), Numpy], Tosca
- Project Management: Jira, Figma, Miro, Agile methodology, Confluence
- Others: Problem solving, creativity, critical thinking, debugging, and
troubleshooting, adaptability, IoT, test cases
- Languages: Proficient in English and Mandarin
EDUCATION
Nanyang Technological University, Singapore Aug 2020 - May 2024
Bachelor of Engineering in Mechanical Engineering with Specialisation in System Engineering
cGPA: 4.10/5.00
- Honours with Distinction
- Passed AWS Cloud Practitioner Examination Score: 801/1000
- Introduction to Computational Thinking, Data Science, Artificial Intelligence and Web Development Grade: A
- Completed Optimisation Theory and Applications, Manufacturing System, Engineering Project Management: Principles
and Practice
- Completed Coursera course for Applied Social Network Analysis in Python
Ngee Ann Polytechnic, Singapore Apr 2015 - Apr 2018
Diploma in Chemical and Biomolecular Engineering cGPA: 3.82/4.00
WORK EXPERIENCE
Cognizant Technology Solutions 2024 - Present
Graduate Analyst (UOB TMRW App)
- Utilized Perfecto to automate mobile device testing for the UOB TMRW app, enhancing test coverage and efficiency
across multiple platforms, improving efficiency by 80 percent
- Developed and executed automated test scripts in SIT using Tosca for critical banking and financial applications,
ensuring robust software quality and functionality, increasing efficiency by 75 percent compared to manual testing
- Collaborated with cross-functional teams to identify, document, and resolve defects, using Jira for defect tracking and
Confluence for documentation and knowledge sharing
- Utilized PuTTY for secure SSH connections and managed authentication keys with Pageant to streamline remote server
access
- Utilized Oracle database controls to disable specific banking microservices, ensuring secure and controlled service
management
- Conducted test planning, test case design, and test execution to ensure adherence to project timelines and high-quality
deliverables
- Participated in daily stand-up meetings, contributing to discussions on test progress, defect status, and quality improvements
ACADEMIC PROJECTS (PYTHON SOFTWARE DEVELOPMENT)
Personal DevOps Project — frank-resume.click (2025)
- Developed and deployed a personal resume website using HTML, CSS, and JavaScript, hosted on AWS S3 for static website hosting
- Implemented AWS CloudFront for content delivery and improved website performance with low latency
- Hardened origin access using CloudFront OAC + S3 Block Public Access and a least-privilege IAM role (only s3:ListBucket, s3:PutObject, s3:DeleteObject)
- Configured AWS Route 53 for domain management and DNS routing to ensure reliable access to the website
- Set up AWS Certificate Manager to enable HTTPS for secure communication between users and the website
- Integrated Google Tag Manager with a GA4 property for traffic insights
Python Data Science Project: Financial Stock Market Analysis & Auto Trader System
- Integrated financial stock data using the Alpha Vantage API, automating the retrieval of historical stock prices for data analysis
- Applied data wrangling techniques using Pandas, such as filtering data by date to focus on specific timeframes and handling missing values with forward filling methods to ensure data consistency
- Conducted Exploratory Data Analysis (EDA) using Matplotlib by visualizing stock trends, such as plotting closing prices over time and using line charts to track stock movement
- Performed time series analysis to identify trends and predict stock movements based on historical data.
- Developed and tested algorithmic trading strategies by analyzing stock price patterns and simulating trading decisions
- Utilized supervised learning models like Linear Regression and Random Forest for stock price prediction, and unsupervised learning techniques for clustering similar stocks
- Evaluated and optimized models using metrics such as mean squared error (MSE) and R-squared, and conducted hyperparameter tuning to improve performance
- Implemented volatility forecasting and used data visualization tools like line charts to present actionable insights, supporting informed trading decisions
Python Data Science Project: Aviation Data Analytics Grade: A-
- Explored and cleaned datasets of 79,292 rows and 31 columns to calculate likelihood of causing plane malfunctions
- Applied and tested machine learning models (clustering, linear regression, and random forest decision tree) to ascertain a suitable algorithm (random forest decision tree) while operating in Python Jupyter Notebook
- Leveraged Random Forest Algorithm to obtain 68 percent prediction accuracy in determining likelihood of plane crash
AWARD AND ACHIEVEMENT
Polytechnic
- Association of Process Industry Prize 2018
- Edusave Certificate of Achievement Award 2018
- Edusave Certificate of Achievement Award 2017
- Third Most Outstanding Award 2017
- Director's List for Excellence Performance 2017
CO-CURRICULAR ACTIVITY
Outreach Division for Institute of Engineering Society Jan 2022 - Jun 2022
Co-Project Manager
REFERENCES
| Dr. John Heng |
Ms. Mehergeeth Pilla |
| Associate Professor, Nanyang Technological University |
Senior Manager, Cognizant Technology Solutions |
| mkhheng@ntu.edu.sg |
+65 9645 6102 |
| Address: Nanyang Technological University
50 Nanyang Ave, 639798 |