Help & Supportcareers@gravityer.com
Data Analyst with 3+ years in Data Cleaning, SQL Querying, & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 3 years of experience in data cleaning, SQL querying, KPI reporting, dashboard development, and business analysis using Python, SQL, Snowflake, Excel, and Power BI. Processed 500K+ records, cut preparation time by 32%, and reduced reporting cycles from 2 days to under 4 hours.
Western Sydney University
Master of Business Analytics · Business Analytics
April 1, 2024 – March 31, 2026
Lincoln University College
Bachelor of Business Administration · Business Administration
October 1, 2019 – June 30, 2022
Bingo Industries
Data Analyst
January 1, 2025 – March 31, 2026
Sydney, New South Wales, Australia
Simtek Software Solutions
Data Analyst
August 1, 2022 – February 29, 2024
Hyderābād, Telangana, India
Credit Default Risk Prediction & Customer Segmentation
June 1, 2024 – Present
Analyzed 300K+ loan applications and credit records using SQL, Python, and Excel to identify borrower risk patterns, repayment behavior, and default trends across customer segments. Built and compared Logistic Regression, Random Forest, XGBoost, and K-Means models, achieving approximately 89% ROC-AUC and improving high-risk borrower detection through feature engineering and class balancing. Developed interactive Power BI dashboards tracking default rates, repayment performance, customer risk clusters, and model predictions, enabling data-driven credit risk insights for lending decisions.
Supply Chain Delivery Delay Analysis
June 1, 2024 – Present
Analysed 180K+ global supply chain orders using Excel, PostgreSQL, and Power BI to identify delivery delay patterns across shipping modes, markets, and customer segments, building a KPI dashboard tracking 54.83% late delivery rate, 99K late orders, and 4.3% cancellation rate using DAX measures. Identified that First Class shipping had a 100% late delivery rate and Second Class had the highest delay gap, revealing systemic scheduling and fulfilment inefficiencies across the supply chain.
Cultural Fit Analysis
The candidate's project diversity, ranging from credit risk prediction to supply chain analysis, indicates adaptability and a broad interest in applying data analytics across different domains. Their experience in both academic and professional settings, including an upcoming role at Bingo Industries, suggests a proactive approach to career development. The listed technical skills are highly relevant to a Data Analyst role, aligning well with typical industry requirements. The candidate's pursuit of a Master of Business Analytics further reinforces their commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and professional experience. Their ability to manage and process large datasets, build dashboards, and optimize queries suggests good attention to detail and operational efficiency. The descriptions indicate a results-oriented approach, focusing on quantifiable improvements like reduced reporting time and improved data accuracy. While direct evidence of teamwork or stress handling is not explicitly detailed, the nature of their roles implies collaboration with stakeholders and managing reporting deadlines.