Swetha Seelam
Adelaide,SA
Summary
Technology professional experienced in systems support, troubleshooting, and process improvement. Expertise in providing technical assistance, managing user accounts, and resolving support tickets. Proven ability to maintain secure and reliable systems while delivering efficient technology solutions and exceptional user support.
Overview
7
7
years of professional experience
Work History
Customer Service Team Member
On The Run
07.2024 - Current
- Analyzed store-level sales, customer flow, and stock data to identify performance trends and improve daily operational decisions.
- Produced Power BI-style reports to visualize transaction volumes and inventory variances for management review.
- Supported accurate data capture and reconciliation across multiple systems, strengthening data integrity and compliance.
- Delivered strong customer service, communication, and teamwork while achieving operational and reporting accuracy targets.
Software Engineer
Ivy Comptech
10.2019 - 11.2021
- Investigated wallet and transaction-related issues in regulated markets by validating data across systems.
- Monitored system behavior, detecting anomalies for early identification of operational issues.
- Liaised between customer support and technical teams to translate user issues into actionable insights, facilitating effective resolution.
- Analyzed critical production incidents, identifying patterns and root causes across platforms.
- Documented recurring incident themes to identify improvement opportunities, enhancing system performance and reducing repeat incidents.
- Supported automation initiatives using Sikuli and Selenium, reducing manual validation efforts.
- Analyzed guest interaction issues to enhance service reliability and stabilize system performance.
Education
Master of Data Science -
Flinders University
Adelaide, SA12-2024
Bachelor of Computer Science and Engineering -
Bapatla Women's Engineering College
Bapatla, India03-2018
Skills
- Data analysis and insight generation
- Incident and problem analysis
- Customer behavior analysis
- SQL and Microsoft 365 applications
- ServiceNow expertise
- System monitoring and reporting
- Customer support
- Process improvement and automation
- Python and R programming
- Power BI proficiency
- Microsoft Azure knowledge
- Stakeholder communication
Projects
Deepfake Image Detection (Master’s Project), Built a deepfake detection model using a pretrained encoder (ResNet50) and neural network classifier., Processed 8000+ training and test images using advanced data preprocessing, feature extraction, and class balancing techniques., Achieved 80% training and 70% validation accuracy by applying transfer learning, batch normalization, and dropout optimization.
Affiliations
- Deepfake Image Detection (Master’s Project)
Built an AI-based image classification model for deepfake detection using ResNet50 as a feature extractor and neural network classifier.
Processed and analysed 8,000+ images using data preprocessing, feature engineering, and class balancing techniques.
Improved model performance using transfer learning, dropout, and batch normalisation techniques.
Achieved 80% training accuracy and 70% validation accuracy, demonstrating applied understanding of AI model behaviour and optimisation.
Gained experience in analysing model outputs, error patterns, and system performance improvements.
Timeline
Customer Service Team Member
On The Run
07.2024 - Current
Software Engineer
Ivy Comptech
10.2019 - 11.2021
Master of Data Science -
Flinders University
Bachelor of Computer Science and Engineering -
Bapatla Women's Engineering College