Anjali Rahate
Melbourne,Australia
Summary
Software Engineer specializing in data and automation at Adapty Solutions, achieving a 15% reduction in stockouts through innovative data tools. Expertise in Python and SQL, with a strong focus on predictive modeling and effective stakeholder communication. Proven ability to deliver impactful solutions that enhance client retention and improve operational efficiency.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Software Engineer (Data & Automation Focus)
Adapty Solutions (Now Apexon)
Thane, India
02.2021 - 04.2023
- Built internal data tools to analyze real-time inventory trends, reducing stockouts by 15%
- Developed predictive analytics models using Python to recommend products, increasing average order value by 10%
- Designed and implemented RESTful APIs and integrated customer sales data into front-end dashboards
- Partnered with data scientists to debug machine learning models
- Client Projects: Iron Valley, Stellar Industrial, Hesco, Standard Electric Supply
- Created dashboards and recommendation systems for customer behavior analysis and inventory forecasting
- Developed full-stack data-driven solutions that improved client retention and operational efficiency
Education
Master of Science - Data Science
RMIT University
Melbourne01.2025
Bachelor of Engineering - Computer Science
Mumbai University
India01.2020
Skills
- SQL and Python
- Data analysis
- Data visualization
- Excel and macros
- JavaScript and ReactJS
- REST API integration
- Predictive modeling
- Version control with Git
- Project management
- Stakeholder communication
- Independent problem solving
- Documentation and reporting
- Agile collaboration
- Machine learning
- Team collaboration
- MySQL
- Web development
- Data structures
- Software development
- HTML and XML
- Software development life cycle (SDLC)
- Object-oriented programming
- Code debugging
- Web applications
- Git proficiency
- Testing and debugging techniques
- Database management software
Certification
- Data Analytics & Visualization Job Simulation – Accenture (Forage)
- Python Data Structures – Coursera
- Programming for Everybody – Coursera
- What is Data Science – IBM
Projects
ACES: Automated Consumer Electronics Solutions, Final Semester Capstone Project, RMIT University, 2025, Developed an AI-powered defect detection system as part of a self-service kiosk (ACES X-One) to automate the cosmetic and functional testing of mobile devices for returns, trade-ins, and insurance claims., Trained computer vision models using a combination of synthetic and real-world image data to detect physical defects (scratches, cracks, dents) and LCD display issues (ghosting, dead pixels, discoloration) with >90% accuracy., Implemented self-supervised learning techniques and created an end-to-end workflow for device assessment, valuation, and reporting., Delivered a scalable MVP integrated with a cloud-based backend (ACES Nexus) and developed a user-friendly tablet interface for test initiation and result viewing., Significantly reduced reliance on manual inspection, improved fraud detection, and enabled objective grading and reporting.
Languages
English
Advanced (C1)
C1
Timeline
Software Engineer (Data & Automation Focus)
Adapty Solutions (Now Apexon)
02.2021 - 04.2023
Master of Science - Data Science
RMIT University
Bachelor of Engineering - Computer Science
Mumbai University
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