MCA graduate with a BCA background and experience in data analytics and project coordination. Skilled in Python, SQL, and Excel, with hands-on practice in data processing and analysis. Completed internships where I contributed to real-world projects and worked with teams to deliver tasks effectively.
Quality Analyst
Chennai, India
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Summary
Quality Analyst at Novac E-Learning, specializing in manual testing of SCORM-based learning modules. Skilled in test execution, defect tracking, and report generation using Excel. Collaborates effectively with SCORM development and instructional design teams to ensure content accuracy, functionality, and platform compatibility. Strong attention to detail and process improvement, with a growing interest in data analytics and engineering.
Highlights
Performed manual testing of SCORM-based e-learning modules to ensure functionality, content accuracy, and platform compatibility.
Collaborated closely with the SCORM development (production) team and Instructional Designers (IDs) to validate course logic, design flow, and technical compliance.
Generated and maintained detailed QA reports, defect logs, and test documentation using Excel.
Verified multimedia assets, quiz logic, and learning paths across LMS environments and multiple devices.
Chennai, Tamil Nadu, India
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Summary
Analyzed large datasets to extract meaningful insights and develop data-driven solutions, enhancing analytical skills and data manipulation proficiency.
Highlights
Analyzed large datasets over a three-month internship, extracting meaningful insights to inform strategic data-driven solutions.
Executed comprehensive data cleaning, preprocessing, and statistical analysis using Python and Excel, ensuring data integrity for visualization.
Contributed to the creation of detailed reports and interactive dashboards that directly supported decision-making processes.
Strengthened proficiency in data manipulation and applied data analytics techniques to solve real-world problems.
Fluent
Native
Proficient
Python, SQL, Java, HTML, CSS.
Excel, Eclipse, Google Cloud Platform, VS Code, GitHub, WordPress, PostgreSQL.
Problem-Solving, Collaboration, Continuous Learning, Analytical Thinking, Adaptability.
Data Analytics, Data Visualization, Statistical Analysis, Report Generation.
Project Coordination, Team Leadership, User Experience (UX), User Interface (UI).
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Summary
Developed a machine learning-based 'COSMETIC PREDICTION' system using Python, ML, and Kaggle. The project utilized PCA and Linear Regression algorithms to predict suitable skin and cosmetic products tailored to specific skin types, showcasing practical application of predictive modeling and data science techniques.
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Summary
Developed a Java and PostgreSQL-based software solution for the 'WIDOW SCHEME,' a government initiative providing 5 goats/sheep at 100% subsidy to 100 beneficiaries per block, totaling 38,800 beneficiaries. This final year project, completed at NIC Chennai, aimed to facilitate women entrepreneurship and provide livelihood support to widows and destitute individuals.