I'm an Information Technology professional with 8+ years of experience, specializing in:

• 🧪 Web Testing & QA — manual and automated testing, functional/regression testing, test-case design
• 🤖 Automation — automated test suites and QA pipelines to catch issues before release
• 📊 Data Visualization & Analytics — turning raw data into clear, decision-ready dashboards and reports
• 🌐 Web Development — building and validating web applications end-to-end

I care about quality, reliability, and insight — making sure software works as intended, and that the data behind it tells an accurate story.

Web Testing & QA        ──▶  Manual + Automated testing, regression, bug tracking
Test Automation          ──▶  Scripted, repeatable QA pipelines
Data Analytics           ──▶  Cleaning, EDA, statistical analysis of real-world datasets
Data Visualization       ──▶  Dashboards & reports that drive decisions

A Big Data analytics pipeline analyzing 10,000 student records to predict dropout risk and support early intervention.

• 🔍 Full EDA across academic, financial, and behavioral factors

• ⚙️ Feature engineering: GPA_Trend, Engagement_Score

• 🤖 4 ML models compared — Logistic Regression, Decision Tree, Random Forest, SVM

• 📈 Best result: 78% accuracy (Random Forest), ROC-AUC 0.821 (Logistic Regression)

• 📄 Full research manuscript with evidence-based recommendations for an institutional early-warning system

A Big Data analytics pipeline analyzing 400 student records to predict Learning and Analytics,Usage risk and support on System Use.

🔍 Full EDA across academic, financial, and behavioral factors
⚙️ Feature engineering: GPA_Trend, Engagement_Score
🤖 4 ML models compared — Logistic Regression, Decision Tree, Random Forest, SVM
📈 Best result: 70% accuracy (Random Forest), ROC-AUC 0.721 (Logistic Regression)
📄 Full research manuscript with evidence-based recommendations for an institutional Learning Management system

A Big Data analytics pipeline analyzing 1000 Citizen records to predict Learning and Analytics,Usage risk and support on System Use.

🔍 Full EDA across academic, financial, and behavioral factors
⚙️ Feature engineering: GPA_Trend, Engagement_Score
🤖 4 ML models compared — Logistic Regression, Decision Tree, Random Forest, SVM
📈 Best result: 50% accuracy (Random Forest), ROC-AUC 0.521 (Logistic Regression)
📄 Full research manuscript with evidence-based recommendations for an institutional Public Key Management system

Top languages: Jupyter Notebook · Python Repositories: 5 public repos · 3 forks · 2 stars across the account

Note: GitHub-stats widgets render live from GitHub's public API against your username, so figures update automatically as your repositories and activity change.

• Sharpening skills in automated web testing and data-driven QA workflows
• Building analytics & visualization projects using real-world datasets
• Open to collaboration on web testing, QA automation, and analytics projects

Thanks for stopping by — always happy to talk testing, automation, or data! 🚀