Freelancers using Stata in Raipur
Freelancers using Stata in Raipur
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FARHAN KHAN
Raipur, India
End-to-End Academic Research & Data Analysis Solutions
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End-to-End Academic Research & Data Analysis Solutions
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Quantitative Statistical Analysis & Mediation Study Objective Explore how mind-body practices relate to people's overall quality of life, and whether personality traits help explain this relationship. Dataset 1,092 valid responses were analyzed after data screening and preparation. Analysis Performed Data cleaning & screening Descriptive statistics Reliability testing Normality & assumption testing Correlation analysis Structural Equation Modeling (SEM) Mediation analysis Tools & Methods JASP • Pearson & Spearman Correlation • SEM • DWLS • Bootstrap Analysis Key Findings Higher neuroticism was significantly associated with lower self-reported health/quality of life. Mind-body practice showed a significant direct relationship with quality of life. Neuroticism did not significantly explain/mediate the relationship between mind-body practice and quality of life. The final model explained 17.1% of the variation in quality of life. Deliverable A complete statistical analysis report with tables, visualizations, statistical results, interpretation, and research findings.
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Qualitative Research & Thematic Analysis Objective: Examine how leadership, strategy, and performance management are experienced across the organisation. Data: Semi-structured interviews and focus-group discussions with 28 participants across leadership, management, and operational roles. Method: NVivo-based qualitative coding and thematic analysis to identify recurring patterns, relationships, and key insights. Key Themes: Strategic Alignment & Leadership • Performance Systems • Monitoring & Feedback • Challenges & Continuous Improvement Analysis & Visualisation: Coding frequencies, thematic hierarchy, sub-theme mapping, treemap, sunburst chart, and word cloud. Outcome: Identified organisational strengths, implementation gaps, feedback challenges, and opportunities to improve performance systems and strategic execution. Skills: Qualitative Research • Thematic Analysis • Data Interpretation Tool: NVivo
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Systematic Literature Review — AI & Nanofluids Focus: AI-driven prediction of nanofluid thermophysical properties Method: PRISMA-based Systematic Literature Review Scope: 2015–2026 Database Search: Scopus • Web of Science • ScienceDirect • IEEE Xplore • Google Scholar Studies Reviewed: 100 peer-reviewed articles Analysis: AI/ML methods • Nanofluid types • Properties • Research gaps Outcome: Identified trends, limitations, and future research directions.
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Research Focus Developed an automated papaya disease classification study using a hybrid Deep Learning + Machine Learning framework. Literature Review Reviewed existing research on plant disease detection, CNNs, transfer learning, and machine learning classifiers to identify key limitations and establish the research gap. Methodology Designed a complete research pipeline covering image preprocessing, augmentation, deep feature extraction, model development, classification, and comparative evaluation using CNN, ResNet50, DenseNet121, VGG16, SVM, XGBoost, and Random Forest. Results Evaluated models using accuracy, precision, recall, F1-score, loss, and confusion matrices. ResNet50 + SVM achieved 99.6% accuracy, delivering the strongest overall performance. Deliverables Research paper • Literature review • Research gap analysis • Methodology • Model comparison • Data visualizations • Results & discussion Future Scope Proposed larger datasets, improved real-world generalization, Explainable AI, and IoT-based real-time deployment. Full Research Paper: For further details, methodology, analysis, and results, view the published research paper: https://doi.org/10.5281/zenodo.19727283
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