Innovative Customer Sales Representative with extensive knowledge of payment processing and negotiation. Successful at generative revenue and maintaining long-term client relationships. Adept at detail-oriented reporting and support.
Overview
5
5
years of professional experience
Work History
Retail Team Leader | 3IC
Yd Pty Ltd.
09.2023 - Current
Supported store operations as 3IC, supervising staff and ensuring seamless execution of daily workflows and team productivity KPIs.
Leveraged POS and inventory management systems to analyse transactional data and identify sales trends.
Conducted EDA on customer feedback to recommend evidence-based improvements to service and product offerings.
Collaborated with cross-functional teams to achieve revenue goals, using performance dashboards built in Microsoft Excel.
Data Engineer & Web Scraping Lead (Capstone)
Databytes – Deakin University
03.2025 - 06.2025
Built a scalable, production-ready scraping system forming the core data pipeline for the DiscountMate platform.
Developed modular Python-based scrapers using Selenium, with dynamic traversal across nested product categories for IGA, ensuring comprehensive data coverage.
Integrated scraped data into MongoDB using automated ingestion workflows, optimised for downstream ML and analytics pipelines.
Engineered robust, ethical scraping workflows with structured logging, automated retries, user-agent rotation, request throttling, and shell-scripted deployment for scheduled and unattended execution, ensuring reliability, compliance, and fault tolerance.
Data Science Researcher & Technical Lead (Capstone
Databytes – Deakin University
07.2024 - 10.2024
Designed privacy-preserving ML pipelines using homomorphic encryption (CKKS, BFV) and secure multiparty computation for sensitive financial data.
Developed synthetic data workflows (SDV-GAN, TableGAN, VAEs) to enhance data privacy and improve fraud detection model robustness.
Built federated learning systems (Ray, Flask) for privacy-preserving model training across institutions, integrating SMOTE for class imbalance and automating evaluation with PyTorch, Scikit-learn, and TenSEAL to ensure reproducibility.
Led collaborative workflows via GitHub, Trello, and project management tools, maintaining clean codebases, timely delivery, and technical documentation.
Web Scraping Intern
AISLYN Technologies Pvt Ltd
02.2020 - 04.2020
Built a simulated e-commerce scraping environment with custom crawler, scraper, and GUI for research into bot vs human behaviour.
Applied machine learning (K-means clustering using Euclidean and Manhattan distances) to detect and classify bot activity based on behavioural features.
Analysed request patterns, IPs, and entropy to enhance bot detection accuracy; extracted and processed data using BeautifulSoup, requests, lxml, and pandas.
Researched and implemented anti-scraping techniques including CAPTCHAs, geo-fencing, user-agent filtering, and robots.txt enforcement.
Education
Master of Science - Data Science
Deakin University
Melbourne, VIC
07.2025
Master of Science - Business Analytics
University of Exeter
Exeter, UK
02.2023
Bachelor of Engineering - Information Science
Ramaiah Institute of Technology
Bangalore, India
2017
Skills
Quality Assurance Evaluation
Product Knowledge
Excellent Written and Verbal Communication
Cash Register Operations
Customer Service and Assistance
Safety and Cleanliness Standards
Timeline
Data Engineer & Web Scraping Lead (Capstone)
Databytes – Deakin University
03.2025 - 06.2025
Data Science Researcher & Technical Lead (Capstone