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
QA Engineer with less than a year in Functional Testing and Data Analysis
Motivated and dedicated MCA graduate seeking entry-level opportunities in the IT industry with a strong interest in Data Analytics and QA Testing roles. Possess knowledge of Excel, SQL, Power BI, and basic data analysis concepts along with understanding of manual testing, test case preparation, bug identification, and software quality validation. Completed academic projects related to AI-based systems and data handling, which helped develop analytical thinking and problem-solving skills. Quick learner with good communication, teamwork, and adaptability to new technologies and work environments. Capable of handling tasks with attention to detail and a willingness to continuously improve technical knowledge. Interested in roles such as Data Analyst, QA Tester, MIS Executive, and IT Support. Looking for an opportunity to gain practical industry experience and contribute effectively to organizational goals.
Nazareth Matriculation Hr. Sec. School
HSC
N/A – Present
Nazareth Matriculation Hr. Sec. School
SSLC
N/A – Present
Inovera Infotech
QA & Web Development Intern
January 1, 2025 – February 1, 2025
Chennai, Tamil Nadu, India
Customer Churn Analysis Dashboard
June 1, 2026 – Present
Built an interactive Power BI dashboard analyzing telecom customer churn across contract type, tenure, internet service, and tech support, enabling stakeholders to identify high-risk segments and drive proactive retention strategies using DAX-based KPIs for Churn Rate, Retention Rate, and Customer Lifetime Value. Performed comprehensive EDA and data integrity checks on raw telecom datasets to detect outliers and missing values; delivered self-service BI capabilities with actionable recommendations empowering non-technical stakeholders to make informed strategic decisions.
Deepfake Detection - Performance & Data Analysis
June 1, 2026 – Present
Conducted in-depth performance analysis of a deepfake detection model on the FaceForensics++ dataset, evaluating accuracy, precision, recall, and F1-score; investigated classification failures to surface data patterns that directly informed model refinements improving reliability and generalization. Assessed data preprocessing pipelines including frame extraction and face detection for consistency; compiled structured analytical reports guiding iterative model improvement and data-driven development decisions.
Power BI
PayPal
June 1, 2026 – Present
Data Analyst Training
Novitech
June 1, 2026 – Present
UI/UX Design
Novitech
June 1, 2026 – Present
Programming in C
NPTEL
June 1, 2026 – Present
Internet of Things
NPTEL
June 1, 2026 – Present
Cyber Security Fundamentals
Unknown
June 1, 2026 – Present
Digital Marketing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including data analysis and AI model evaluation, alongside a QA internship, suggests a broad interest in technology and a willingness to learn across different domains. This adaptability and curiosity can contribute positively to a dynamic team culture. The stated interest in continuous improvement aligns with a growth-oriented environment. However, the academic nature of most projects and limited professional experience mean the cultural fit is primarily based on stated interests and transferable skills rather than extensive demonstrated workplace behavior.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, attention to detail, problem-solving, stakeholder communication, and teamwork. These soft skills are highly relevant for a QA Engineer role, where meticulousness, collaboration, and clear defect reporting are crucial. The internship experience shows an ability to work in a cross-functional team and communicate defect summaries, indicating a good operational fit for a collaborative development environment.