Freelance StatisticiansFreelance Statisticians
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Léon Sharon Geisler's avatar
Léon Sharon Geisler
33790 Halle, Germany
Advanced Analytics for Profound Insights 📊
Advanced Analytics for Profound Insights 📊
Cover image for Employee surveys Museum for russian german cultural history
Employee surveys Museum for russian german cultural history
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30
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Employee Survey Analysis Project
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23
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Market Research YoungBrandAwards
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32
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Statistician(2)
Divyesh Ahir's avatar
Divyesh Ahir
Surat, India
Senior Mobile App & Web UI/UX Designer | iOS, Android, Figma
New to Contra
Senior Mobile App & Web UI/UX Designer | iOS, Android, Figma
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Admin dashboard: analytics
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1
Cover image for Virtus4all - Sales Management Dashboard 📈
Virtus4all - Sales Management Dashboard 📈
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0
Cover image for CALORIESENS - Calorie Counter Mobile App
CALORIESENS - Calorie Counter Mobile App
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0
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Furniture e-commerce app - Mobile app
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1
Statistician(3)
Ali Salman's avatar
Ali Salman
Pakistan
Data Scientist | Research Analyst
Data Scientist | Research Analyst
Cover image for Research Paper: CPC (Regression Analysis)
Research Paper: CPC (Regression Analysis)
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6
Cover image for Research Paper: Circulation (Survival Analysis)
Research Paper: Circulation (Survival Analysis)
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7
Cover image for Research Paper: EJHF (Meta-Analysis)
Research Paper: EJHF (Meta-Analysis)
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5
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Statistician(3)
Adrian Gallard's avatar
Adrian Gallard
Atlanta, USA
I'll make you the smartest person in the room.
I'll make you the smartest person in the room.
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Sacramento Housing
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ajgallard/ab_testing
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29
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ajgallard/neural-style-transfer
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15
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Statistician(2)
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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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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