Help & Supportcareers@gravityer.com
Data Analyst with less than a year in SQL, Python, Excel, and 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
Detail-oriented and analytical engineering graduate aspiring Data Analyst, skilled in SQL, Python, Excel, and data visualization tools. Passionate about transforming raw data into actionable insights to support data-driven decision-making in business environments.
Jayamukhi Institute of Technological Sciences
Bachelor of Technology (B.Tech) · Electrical & Electronics Engineering
August 1, 2023 – June 30, 2026
Customer Churn Analysis – Sales Dataset
June 27, 2026 – Present
Analyzed customer churn data to identify factors influencing customer attrition. Performed data cleaning and exploratory analysis using Excel and SQL. Built interactive dashboards in Power BI to visualize churn trends and customer behavior. Delivered insights that can help improve customer retention strategies.
Sales & Student Data Analysis
June 27, 2026 – Present
Used SQL queries to extract and analyze sales and student-related datasets. Identified performance trends and key metrics using aggregation and filtering techniques. Improved data accuracy through structured data preparation techniques.
Data Analytics with Excel
MindLuster
June 1, 2026 – Present
Data Preparation in Data Science
MindLuster
June 1, 2026 – Present
Data Science
Teks Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's passion for continuous learning and data-driven storytelling suggests a good cultural fit for an analytical and growth-oriented environment. Their academic projects show an ability to work on defined problems and deliver insights. However, the absence of team-based projects or professional experience limits the assessment of their collaboration and adaptability in a corporate culture.
Soft Skills & Operational Fit
The candidate demonstrates a passion for data-driven storytelling and continuous learning, which are positive indicators for operational fit. Their objective aligns with seeking entry-level Data Analyst roles, suggesting a clear career path. However, the lack of professional experience means their ability to handle real-world operational challenges and collaborate in a professional setting is unproven.