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Kunal Khatri's avatar
Kunal Khatri
Surat, India
PhD Statistician | Data Analysis & Research Expert
PhD Statistician | Data Analysis & Research Expert
Cover image for 🧠 Title: Statistical Analysis of
🧠 Title: Statistical Analysis of 325 Survey Responses for Research Study 📌 Problem: The client required a complete statistical analysis of survey data (325 respondents) to examine relationships between multiple factors such as organizational support, job involvement, and employee engagement. They needed: 1. Correct statistical test selection 2. Accurate analysis 3. Clear interpretation for research reporting ⚙️ Approach: I followed a structured analytical process: 1. Data cleaning and preprocessing 2. Reliability testing (Cronbach’s Alpha) 3. Descriptive statistics 4. Correlation analysis 5. Regression analysis 6. Hypothesis testing using SPSS 🛠 Tools Used: SPSS, Excel, R, Python 📊 Results 1. Identified significant relationships between key variables 2. Established impact of organizational support on engagement 3. Generated clear statistical outputs with interpretation 🎯 Outcome: The client successfully completed their research project with strong statistical backing and well-structured results for their report/dissertation. 💡 Key Value Delivered 1. Accurate and reliable statistical analysis 2. Easy-to-understand interpretation 3. Research-ready outputs
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Cover image for 🚀 Available for Statistical Analysis
🚀 Available for Statistical Analysis & Research Projects I’m a PhD-qualified Statistician with 14+ years of experience in data analysis and academic research. I help clients with: • Survey data analysis (SPSS, R, Python) • Hypothesis testing, regression, factor analysis • Thesis, dissertation & research support • Data visualization & interpretation I focus on delivering accurate results, clear insights, and professional reports. 📍 Time Zone: IST (UTC +5:30) 🌍 Available for global clients If you’re working on a research or data-driven project, feel free to connect!
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Cover image for This project involved statistical revision
This project involved statistical revision and analysis of a Social and Environmental Science survey dataset containing responses from 325 participants. The aim was to examine awareness levels, environmental attitudes, community participation, and socio-demographic influences on sustainable behavior. Advanced statistical techniques were used to clean the data, validate responses, generate meaningful insights, and prepare publication-quality outputs including tables, graphs, interpretations, and discussion sections.
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Cover image for This HR analytics project focuses
This HR analytics project focuses on analyzing workforce data to uncover insights into employee attrition, satisfaction levels, income distribution, and key correlations among HR metrics. The analysis aims to help HR departments make informed decisions for retention and workforce planning.
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IBM SPSS(6)
FARHAN KHAN's avatar
FARHAN KHAN
Raipur, India
End-to-End Academic Research & Data Analysis Solutions
New to Contra
End-to-End Academic Research & Data Analysis Solutions
Cover image for Quantitative Statistical Analysis & Mediation
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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Cover image for Qualitative Research & Thematic Analysis Objective:
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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Cover image for Systematic Literature Review — AI
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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Cover image for Research Focus Developed an automated papaya
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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IBM SPSS(1)
Hadi Rajabbeigi's avatar
Hadi Rajabbeigi
New York, USA
Data Analyst helping businesses turn data into insights
Data Analyst helping businesses turn data into insights
Cover image for Guide to Choosing Statistical Methods for Research
Guide to Choosing Statistical Methods for Research
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Cover image for Machine Learning for Social Scientists: A Practical Guide
Machine Learning for Social Scientists: A Practical Guide
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Cover image for Research Data Analysis and Visualization
Research Data Analysis and Visualization
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IBM SPSS(1)
Ryan Tennis's avatar
Ryan Tennis
Knoxville, USA
Data analyst turning real-world questions into answers
Data analyst turning real-world questions into answers
Cover image for I served as a qualitative methods coach for Jonathan Del Tor...
I served as a qualitative methods coach for Jonathan Del Toro’s MSW thesis, “Graffiti Writers: A Study of Psychological and Environmental Influences,” at CSU Northridge. The project and findings are entirely his; my role was to help him learn and apply rigorous qualitative techniques. I worked with him to build an initial coding tree, set up and use Dedoose for content analysis, and refine codes and memos as themes emerged. The goal was to strengthen the reliability and clarity of his analysis while ensuring he remained the primary researcher and author. Graffiti Writers: A Study of Psychological and Environmental Influences by Jonathan Del Toro Link: https://scholarworks.calstate.edu/concern/theses/zk51vs86f
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Cover image for In 2024, as a Senior Research Analyst at Modesto Junior Coll...
In 2024, as a Senior Research Analyst at Modesto Junior College, I built this Course Modality dashboard in Power BI to help administrators compare enrollment and student success across formats like F2F, online, hybrid, and HyFlex. The dashboard breaks results down by gender, race/ethnicity, age range, and first-gen status, and can be filtered by term, school, course, and modality. Users can toggle between success and retention rates to see where different groups are doing well or need more support. It’s now used in program review and planning to guide decisions about scheduling and modality mix. Link: https://app.powerbi.com/view?r=eyJrIjoiMGQ4ZDc2NjYtZTg1MC00YWZmLTlmMzktNTRmNzYwMWFiNDAzIiwidCI6IjNkMzVhZmU2LTI2YWMtNDM3ZS1iNGIzLTc1YjUwZDQ1OWU0NSIsImMiOjZ9
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Cover image for Mixed-Methods Study on Student Veterans: THE IMPACT OF SERVI...
Mixed-Methods Study on Student Veterans: THE IMPACT OF SERVICE USE ON ACADEMIC OUTCOMES AMONG STUDENT SERVICE MEMBERS/VETERANS Link: https://scholarworks.calstate.edu/concern/theses/8g84mt80m
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Cover image for In 2024, while working as a Senior Research Analyst at Modes...
In 2024, while working as a Senior Research Analyst at Modesto Junior College, I built this Program Enrollment by Zip Code dashboard in Power BI to help leadership and outreach staff see where students live across the region and how that changes over time. I pulled enrollment data from our student system, aggregated it at the program and ZIP code level, and joined it with spatial data so we could map enrollment by county and neighborhood. Filters allow users to slice by year, city, and ZIP code, with a privacy threshold hiding ZIP codes with very few students. Deans and outreach staff use this dashboard to spot growth or decline and plan recruiting and marketing efforts. Link http://app.powerbi.com/view?r=eyJrIjoiZmYzMGVlNjAtNzc5OS00ZWU4LWJjZjAtNTAyNzEyMmRlYjM0IiwidCI6IjNkMzVhZmU2LTI2YWMtNDM3ZS1iNGIzLTc1YjUwZDQ1OWU0NSIsImMiOjZ9
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IBM SPSS(1)
Miguel Luzuriaga, PhD's avatar
Miguel Luzuriaga, PhD
Munich, Germany
UX Writer, Editor & Marketer with Global Expertise 🌍
UX Writer, Editor & Marketer with Global Expertise 🌍
Cover image for Experts' Assesment of UX
Experts' Assesment of UX
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Cover image for Consumer Behavior Research & Publication
Consumer Behavior Research & Publication
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Cover image for Editorial Excellence in Scientific Publishing
Editorial Excellence in Scientific Publishing
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Cover image for UX & HMI Research and Scientific Publication
UX & HMI Research and Scientific Publication
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IBM SPSS(2)
Nisaa Kirtman's avatar
Nisaa Kirtman
Windsor, USA
Evaluation, Grant & Proposal Support, & Strategic Planning
Evaluation, Grant & Proposal Support, & Strategic Planning
Cover image for Library Program Delivery Models During the Pandemic
Library Program Delivery Models During the Pandemic
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Cover image for ICFAIM Program Impact on STEM Education at JSU
ICFAIM Program Impact on STEM Education at JSU
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Cover image for Supporting Children's Executive Functioning Post-COVID-19
Supporting Children's Executive Functioning Post-COVID-19
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IBM SPSS(2)