Help & Supportcareers@gravityer.com
Data Analyst with less than a year in SQL, Python & 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 strong skills in SQL, Python, and Power BI for analyzing business data. Experienced in exploratory data analysis, dashboard creation, and extracting actionable insights. Skilled in cohort analysis and statistical analysis to understand trends and customer behavior.
National Institute of Technology, Surathkal
B.Tech
August 1, 2020 – June 30, 2024
Rashtrotthana Vidya Kendra, Banashankari
XII (CBSE)
June 1, 2018 – May 31, 2020
Jawahar Navodaya Vidyalaya, Belagavi
X (CBSE)
N/A – May 31, 2018
E-Commerce Sales Dashboard
June 1, 2026 – Present
Built interactive dashboard to analyze sales trends, regional performance, and customer segments. Developed KPIs including total sales, average monthly sales, and growth rate. Identified inconsistent demand patterns and weak growth (~0.23% MoM). Highlighted key revenue-driving categories and underperforming regions.
View ProjectCustomer Spending Analysis
June 1, 2026 – Present
Analyzed customer spending behavior using Python and performed exploratory data analysis. Identified key patterns in spending based on income and demographic features. Applied statistical techniques such as correlation analysis to understand relationships. Generated insights to support customer segmentation and business decision-making.
View ProjectE-Commerce SQL Analysis
June 1, 2026 – Present
Performed data analysis on e-commerce dataset to extract business insights using SQL. Used joins, aggregations, and filtering to analyze customer behavior and sales trends. Conducted cohort analysis to track customer retention and repeat purchase patterns. Identified key revenue drivers and areas of performance improvement.
View ProjectData Science Program (Career 24x7, NASSCOM aligned)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical data analysis applications, which aligns well with a results-oriented culture. The diversity of projects (SQL analysis, dashboarding, Python-based analysis) shows a breadth of technical interest. The pursuit of a Data Science Program indicates a commitment to continuous learning. However, without information on collaborative projects or team roles, assessing cultural fit beyond technical alignment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify business insights and communicate findings, which suggests a foundational level of analytical thinking and problem-solving. However, without direct interview data or specific behavioral assessments, it is difficult to fully assess soft skills like teamwork, communication under pressure, or adaptability. The psychometric test score is 0, which provides no insight into these areas.