Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in Data Analysis & Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Second-year Business Data Analytics undergraduate skilled in Excel, SQL, Python, R, and Power BI. Experienced in data analysis, data visualization, and dashboard development through academic projects. Passionate about transforming data into meaningful insights to support business decision-making.
Informatics Institute of Technology - Affiliated with University of Westminster
BSc (Hons) Business Data Analytics · Business Data Analytics
August 1, 2024 – Present
Private Candidate
G.C.E Advanced Level (A/L) · Commerce Stream
June 1, 2023 – May 31, 2023
CH/Dankotuwa Balika Maha Vidyalaya
G.C.E Ordinary Level (O/L)
June 1, 2022 – May 31, 2022
Informatics Institute of Technology - Affiliated with University of Westminster
Business Data Analytics Undergraduate
January 1, 2024 – Present
Chilaw, North Western Province, Sri Lanka
Predictive Analysis of US Healthcare Costs
January 1, 2025 – June 1, 2026
Developed a multiple linear regression model in R to predict healthcare insurance costs based on demographic and health-related variables. Applied feature selection techniques to identify the most significant factors influencing healthcare costs. Performed data preprocessing, cleaning, and exploratory data analysis (EDA) to understand patterns and relationships within the dataset.
Hotel Booking Cancellation Prediction
January 1, 2025 – June 1, 2026
Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Python. Developed a predictive model to estimate booking cancellation probability and support data-driven decision-making. Collaborated with team members using GitHub for version control and code management
Global Maternal & Under-Five Mortality Dashboard
January 1, 2025 – June 1, 2026
Analyzed United Nations SDG 3 datasets (2000-2023) to study global trends in maternal and under-five mortality rates. Cleaned and transformed raw datasets using Excel and Power BI to prepare them for analysis. Developed an interactive Power BI dashboard including line charts, bar charts, maps, and KPI indicators. Identified regional disparities and long-term mortality trends across countries and regions.
Career Essentials in Data Analysis
Microsoft & LinkedIn Learning
January 1, 2025 – Present
Data Visualisation with MS Power BI
Professional Development Unit, Informatics Institute of Technology
January 1, 2025 – Present
Excel for Business Analysts
LinkedIn Learning
January 1, 2025 – Present
Python Data Analysis
LinkedIn Learning
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across diverse scenarios (healthcare costs, global mortality, hotel bookings). The pursuit of multiple certifications from LinkedIn Learning and Microsoft indicates a strong desire for continuous learning and professional development, which aligns well with a growth-oriented culture. The focus on transforming data into meaningful insights for business decision-making also shows a business-oriented mindset.
Soft Skills & Operational Fit
The candidate highlights strong soft skills such as communication, teamwork, problem-solving, adaptability, attention to detail, organizational skills, and analytical thinking. These are crucial for a Data Analyst role, especially in collaborative environments. The academic project experience demonstrates practical application of these skills in a team setting.