Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Data Analytics & 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
Data Analyst Fresher with hands-on experience in SQL, Excel, Power BI, and Python through internship. Skilled in data cleaning, dashboard development, and data visualization. Seeking to leverage analytical skills to support data-driven business decisions.
Velalar College Of Engineering And Technology
Bachelor of Biomedical Engineering · Biomedical Engineering
August 1, 2022 – June 30, 2026
Qtree Technologies
Data Analyst Intern
February 1, 2026 – May 1, 2026
India
Retail Sales Analysis Dashboard
June 1, 2026 – Present
Developed interactive Power BI dashboard analyzing 10,000+ sales records. Identified top-performing regions and profit trends through KPI tracking.
Hospital Management Dashboard
June 1, 2026 – Present
Designed a relational database with primary and foreign key relationships. Created SQL queries and Power BI reports for patient, doctor, and billing analysis.
Introduction to SQL-Simplilearn
Simplilearn
June 1, 2026 – Present
Introduction to MS Excel-Simplilearn
Simplilearn
June 1, 2026 – Present
Power BI for Beginners-Simplilearn
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a proactive approach to gaining practical experience in data analysis. The certifications indicate a self-driven learning attitude. The projects cover retail sales and hospital management, demonstrating some diversity in application domains. The role alignment with a Data Analyst position is clear, though the experience level is entry-level. The breadth of skills is foundational for a data analyst.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, team collaboration, and analytical thinking as skills. The project descriptions indicate some application of these, particularly in analyzing data and presenting insights. However, without specific examples or interview data, the depth of these soft skills and their operational fit cannot be fully assessed.