Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Power BI, SQL, Python, and Data 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
Aspiring Data Analyst with strong knowledge of Excel, SQL, Power BI, Python, and Data Visualization. Experienced in data cleaning, dashboard development, reporting, and extracting actionable insights through academic and personal projects. Seeking an opportunity to apply analytical skills and contribute to business growth through data-driven decision-making.
Unknown
Master of Computer Applications (MCA)
N/A – June 30, 2026
Unknown
Bachelor of Computer Science (BCS)
N/A – Present
Plant Disease Detection Using EfficientNet
June 16, 2026 – Present
Developed a machine learning model for plant disease classification using image processing and EfficientNet architecture.
Sales Data Analysis Dashboard
June 16, 2026 – Present
Created interactive Power BI dashboards and analyzed sales trends to generate business insights.
Customer Churn Analysis
June 16, 2026 – Present
Performed exploratory data analysis and built visual reports to identify customer retention factors.
Cisco Data Analytics Essentials
Cisco
June 1, 2026 – Present
Power BI
Unknown
June 1, 2026 – Present
SQL for Data Analysis
Unknown
June 1, 2026 – Present
Excel for Business Analytics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in data analysis applications, from business insights (Sales Data, Customer Churn) to machine learning (Plant Disease Detection). This breadth suggests adaptability and a willingness to explore different domains. However, without professional experience, it's challenging to assess alignment with specific company culture or team dynamics. The certifications indicate a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on academic projects, suggesting an ability to work within structured environments and follow project guidelines. However, there is no information regarding professional experience, teamwork, or problem-solving in a corporate setting, making it difficult to assess operational fit or soft skills like stress handling and collaboration.