Help & Supportcareers@gravityer.com
Data Science with less than a year in Machine Learning, Data Analysis & Software Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Data Science undergraduate with hands-on experience in machine learning, data analysis, software development, mobile app development, and full-stack web development. Skilled in Python, Kotlin, JavaScript, UI/UX design, and database management. Strong problem-solving abilities with a passion for building user-friendly, efficient, and scalable solutions. Seeking an internship or entry-level role in Data Science or IT to apply technical knowledge and contribute to innovative projects.
Sri Lanka Institute of Information Technology (SLIIT)
BSc (Hons) · Information Technology (Specializing in Data Science)
January 1, 2023 – June 1, 2026
Pinnawala Central College
GCE A/L · Bio Science Stream
January 1, 2019 – December 31, 2019
Customer Churn Analysis Dashboard – Power BI
June 1, 2026 – June 1, 2026
Built an interactive Power BI dashboard to analyze customer churn patterns and retention trends. Performed data cleaning using Power Query and created visual reports with filters and slicers. Identified key factors influencing customer churn through data visualization.
Supply Chain Performance Dashboard – Power BI
June 1, 2026 – June 1, 2026
Developed an interactive Power BI dashboard to analyze supply chain operations and delivery performance. Created KPI metrics to monitor shipping delays, regional sales trends, and order fulfilment efficiency. Designed visual reports with filters and slicers to support data-driven operational decisions.
Real Estate AI Platform
August 1, 2025 – October 31, 2025
Developed an AI-driven real estate analysis platform using FastAPI, React, MongoDB, FAISS, and Gemini AI. Built multi-agent price and location evaluation with semantic search, RAG-based insights, JWT auth, and vector retrieval for fast, accurate property analytics.
Money Master – Personal Finance Tracker
April 1, 2025 – May 31, 2025
Kotlin-based Android application featuring expense/income tracking, budgeting, charts, multi-currency support, user authentication, and data backup.
Pet Adoption & Care System
February 1, 2025 – June 30, 2025
Full-stack MERN application with Tailwind CSS for pet registration, appointment scheduling, adoption workflows, and event management. Designed responsive UI and admin dashboard.
TrainGo – Railway Booking System
August 1, 2024 – October 31, 2024
Java-powered railway management system enabling seat booking and real-time train tracking with admin tools for schedule management.
RouteMaster – Bus Booking Platform
January 1, 2024 – June 30, 2024
Secure web-based bus scheduling and booking system supporting online payments and ticket management with admin and driver modules.
Data Fundamentals - Certificate of completion
Student Ambassador Program with IBM SkillsBuild
June 1, 2026 – Present
AI/ML Engineer - Stage 1 Certificate of completion
SLIIT
June 1, 2026 – Present
Python for Beginners - Certificate of completion
University of Moratuwa
June 1, 2026 – Present
AWS Computing Solutions - Certificate of completion
AWS Training & Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background specializing in Data Science, coupled with a range of projects spanning full-stack development, mobile apps, and AI/ML, indicates a broad interest in technology and a willingness to explore different domains. This diversity suggests adaptability and a collaborative mindset, which are positive indicators for cultural fit. The focus on building user-friendly and efficient solutions aligns with a product-oriented culture. However, the lack of professional experience means their ability to integrate into a corporate culture and handle professional responsibilities is yet to be demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates a proactive and motivated attitude towards learning and applying technical skills, as evidenced by diverse academic projects and certifications. Their problem-solving abilities and passion for user-friendly, efficient, and scalable solutions suggest a good operational fit for roles requiring innovation and practical application of data science principles. However, without direct work experience, the ability to navigate complex team dynamics or high-pressure environments is unproven.