Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Power BI, SQL, and Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on project experience in Power BI, SQL Server, and Python. Skilled in data cleaning, analysis, and dashboard development to support business insights and reporting.
Alexandria Higher Institute of Engineering & Technology (AIET)
Bachelor of Engineering (B. Sc.) · Computer Engineering
August 1, 2022 – June 30, 2022
Information Technology Institute (ITI)
Power BI Development Track
N/A – June 30, 2025
Fitness Centre end to end BI Solution
June 24, 2026 – Present
Designed and implemented an end-to-end Business Intelligence solution covering database design, data modeling, reporting, and dashboarding. Built a structured SQL Server database with optimized schemas, indexes, stored procedures, and triggers to support analytical workloads. Developed interactive Power BI dashboards to monitor KPIs, customer behavior, and revenue performance. Implemented RFM customer segmentation to support retention analysis and targeted decision-making. Automated reporting workflows to improve data consistency, reliability, and availability for business users.
View ProjectExamination System Database Design & Implementation
June 24, 2026 – Present
Designed and implemented a fully normalized SQL Server examination system supporting complete academic workflows. Developed core business logic using stored procedures and triggers for student registration, exam creation, grading, and result processing. Ensured high data integrity and scalability, producing a clean analytical data source ready for BI reporting and analysis. Enabled automated result generation and reporting to reduce manual processing and errors.
View ProjectRFM Customer segmentation
June 24, 2026 – Present
Built an automated RFM-based customer segmentation model to classify customers based on purchasing behavior. Used CTEs and window functions to calculate Recency, Frequency, and Monetary scores efficiently. Generated business-focused customer segments to support marketing, retention, and performance analysis. Optimized SQL queries to ensure scalability and repeatable analytical execution.
View ProjectCultural Fit Analysis
The candidate's projects are all personal, indicating self-motivation and initiative in learning and applying skills. The projects align well with a Data Analyst role, demonstrating a clear career interest. However, the lack of team-based projects or diverse industry experience limits the assessment of cultural fit in a collaborative professional environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver complete solutions. The focus on automation and data consistency suggests an appreciation for operational efficiency. However, without direct work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or broader work attitude.