Help & Supportcareers@gravityer.com
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 Analytics with less than a year in data analysis and business intelligence.
Motivated and detail-oriented aspiring Data Analyst with a strong foundation in data analysis, business intelligence, reporting, and process optimization. Experienced in working on software and web-based projects involving requirements gathering, KPI monitoring, data validation, stakeholder collaboration, testing, and deployment support. Skilled at collecting, organizing, and analyzing data to identify trends, measure performance, and generate actionable insights that support strategic decision-making. Through projects such as Drive Easy, E Farm Villa, and 3R's, I have developed the ability to transform business requirements into meaningful reports, track key metrics, maintain data quality, and support operational improvements. Proficient in SQL, Microsoft Excel, Power BI, Tableau, and data visualization techniques, with a strong understanding of data cleaning, dashboard creation, and performance analysis. Seeking a Data Analyst opportunity where I can apply my analytical mindset, problem-solving abilities, and technical skills to uncover valuable business insights, improve operational efficiency, and contribute to data-driven decision-making. Committed to continuous learning and leveraging data to help organizations achieve their strategic objectives while delivering measurable business value.
APJ Abdul Kalam Technological University
Master of Computer Applications
N/A – June 30, 2024
Calicut University
Bachelor of Computer Applications
N/A – June 30, 2022
Drive Easy - Driving School Management System
June 23, 2026 – Present
Gathered and analyzed business requirements, translating operational needs into data-driven insights and reporting solutions. Developed reports and dashboards to monitor enrollment trends, instructor utilization, and lesson completion metrics. Performed data validation, testing, and quality assurance to ensure data accuracy, consistency, and reliability. Collaborated with stakeholders to identify trends, streamline workflows, and improve operational efficiency through data analysis.
E Farm Villa - Agricultural Assistance Platform
June 23, 2026 – Present
Gathered and analyzed business and user requirements to support data-driven decision-making and platform enhancements. Developed and maintained reports to provide insights into user engagement, platform usage, and operational performance. Collaborated with stakeholders to identify trends, optimize processes, and support strategic planning through data analysis.
3. 3R's - Recycle, Reduce, Reuse
June 23, 2026 – Present
Analyzed operational data and performance metrics to support waste management process improvements and resource optimization. Maintained data documentation, validated datasets, and ensured data quality for accurate reporting and analysis. Performed testing and issue analysis to identify data inconsistencies and support system reliability.
Internet of Things (IoT): Embedded Systems, Sensor Data Processing, IoT Protocols (MQTT, HTTP), Cloud Integration
Unknown
June 1, 2026 – Present
Cloud Computing: Virtualization, Computing Architecture, Virtual Machines, Cloud-Fog-Edge, Cloud Security
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse domains (driving school management, agriculture, waste management), indicating adaptability. The focus on data-driven insights and process optimization aligns with a results-oriented culture. However, the lack of professional experience and team-based project details makes a comprehensive cultural fit assessment challenging. The certifications in IoT and Cloud Computing show a breadth of interest beyond core data analytics, which could be a positive for innovation but also suggests a broader focus.
Soft Skills & Operational Fit
The candidate lists troubleshooting, system support, verbal communication, problem-solving, adaptability, and team collaboration as core soft skills. These are generally well-suited for a Data Analyst role, which often requires cross-functional collaboration and problem-solving. However, without practical experience, the application of these skills in a professional operational environment is unproven.