Help & Supportcareers@gravityer.com
Data Science with less than a year in Python, R, SQL, and Power BI with experience in data modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and motivated Data Science undergraduate proficient in Python, R, SQL, and Power BI. Experienced in data preparation, data exploration, predictive modeling, and dashboard creation. Strong interest in converting raw data into valuable insights while consistently developing technical and problem-solving abilities. Looking to contribute to real-world data analytics and data science initiatives.
General Sir John Kotelawala Defence University
Bachelor of Applied Data Science · Data Science
August 1, 2024 – June 30, 2027
BCI Campus
Diploma · English Language and Litereture
N/A – June 30, 2026
Ave Maria Convent - Negombo
Advanced Level
N/A – May 31, 2023
Policy Summarisation and Adaptation System
January 1, 2026 – Present
Built a Streamlit NLP application for policy summarization and scenario-based adaptation Combined extractive NLP methods with LLAMA 3 (Groq API) for AI-generated outputs Developed interactive features for uploading, analyzing, and generating policy documents
Climate Trend Analysis and Forecasting (UK Case Study)
January 1, 2026 – Present
Conducted data analysis on UK climate data (2015-2025) using Python. Utilized exploratory data analysis, linear regression,
SQL and Power BI Data Visualisation Project - UK Migration and UN SDG Data
January 1, 2025 – Present
Explored real-world UK migration, Manchester EPC, and UN SDG datasets using SQL Server and Power BI. Developed advanced SQL queries, data models, and interactive dashboards with DAX to extract actionable insights. Presented findings through professional reports and video demonstrations, highlighting data-driven decision-making and analytical proficiency.
Risk Prediction of Heart Disease Among Young Adults
January 1, 2025 – Present
Developed a Random Forest-based machine learning model to predict heart disease risk in young adults. Implemented an interactive Streamlit dashboard to provide real-time, interpretable risk scores based on clinical and lifestyle data, enabling early intervention and personalized preventive measures.
Data Mining: Classification and Clustering Project
January 1, 2024 – Present
Analysed public sector datasets sourced from government open data portals (data.gov.lk, data.gov.uk) using Python/R. Performed EDA, data cleaning, and built classification and clustering models following CRISP-DM, with results communicated via reports and presentations.
All-Time Olympic Games Medals Analysis Dashboard
January 1, 2024 – Present
Create an interactive Power BI dashboard analyzing Olympic medal data (1896-2020) using SQL and Power BI. My work included preparing the dataset, building visualizations, and summarizing key insights in a clear report.
Greater London Property Price Monitor Dashboard
January 1, 2024 – Present
Create a SQL database and a Power BI dashboard to analyze London property prices. I imported data, built tables and queries, connected the database to Power BI, and designed visuals such as sales trends, price distribution, and maps.
Python for Beginners Course
University of Moratuwa
June 1, 2026 – Present
Python Programming
University of Moratuwa
June 1, 2026 – Present
Web design for beginners
University of Moratuwa
June 1, 2026 – Present
Foundations of Project Management
University of Moratuwa
June 1, 2026 – Present
Certificate of participation - Data Odyssey Exhibition
Unknown
June 1, 2026 – Present
Data Science Virtual Internship
Code Alpha
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in diverse data science applications, from climate trend analysis to policy summarization and heart disease prediction. This breadth of interest aligns well with a dynamic and curious team culture. The academic nature of most projects, however, means there is less evidence of navigating complex organizational structures or contributing to open-source communities, which are often indicators of cultural fit in senior roles. The candidate is currently an undergraduate, which suggests a learning-oriented mindset that could fit well into a supportive team.
Soft Skills & Operational Fit
The candidate lists teamwork, time management, leadership, effective communication, and critical thinking as soft skills. While these are valuable, the provided data does not offer specific examples or assessments to validate their operational fit in a senior role. The projects are primarily academic, which limits the insight into real-world collaboration and project management under pressure.