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Presentation
I support students, researchers, and professionals with data analysis, with a particular focus on health, biological, and research data.
My services can include:
• Data cleaning, structuring, and validation
• Variable coding and preparation of analysis-ready datasets
• Descriptive and inferential statistics
• Selection and application of appropriate statistical tests
• Data visualization and interpretation of results
• Analysis using Python, R, SQL, Excel, and SPSS
• Machine learning for classification and prediction tasks
• Model evaluation, including performance metrics, validation, calibration, and error analysis
• Bioinformatics and biomedical data analysis depending on the project
I use a rigorous and reproducible approach, with particular attention to understanding the research context, data quality, and methodological validity.
My goal is not simply to produce numbers, but to transform data into clear, interpretable, and useful results that can support research and informed decision-making.
My services can include:
• Data cleaning, structuring, and validation
• Variable coding and preparation of analysis-ready datasets
• Descriptive and inferential statistics
• Selection and application of appropriate statistical tests
• Data visualization and interpretation of results
• Analysis using Python, R, SQL, Excel, and SPSS
• Machine learning for classification and prediction tasks
• Model evaluation, including performance metrics, validation, calibration, and error analysis
• Bioinformatics and biomedical data analysis depending on the project
I use a rigorous and reproducible approach, with particular attention to understanding the research context, data quality, and methodological validity.
My goal is not simply to produce numbers, but to transform data into clear, interpretable, and useful results that can support research and informed decision-making.
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Portfolio
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Offered services
Data Cleaning, Preparation & Validation
I clean, structure, and prepare datasets so they are reliable and ready for statistical analysis, machine learning, or research.
This service can include:
• Missing-value assessment
• Detection of dup ...
20 $
Statistical Data Analysis for Research Projects
I provide statistical data analysis for students, researchers, and professionals working on academic, health, biological, or survey-based projects.
This service can include:
• Data cleaning and v ...
25 $
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Background
Master's in Computational Biology, Bioinformatics and Data Analysis
Master's program combining computational biology, bioinformatics, statistics, machine learning, and biological data analysis.
Key areas include:
• Biological and biomedical data analysis
• Bioinformatics and computational biology
• Statistical analysis and research methodology
• Machine learning and model evaluation
• Python and R for data analysis
• Multi-omics and medical data applications
The program focuses on using computational and statistical methods to extract meaningful insights from complex biological and health-related datasets.
Key areas include:
• Biological and biomedical data analysis
• Bioinformatics and computational biology
• Statistical analysis and research methodology
• Machine learning and model evaluation
• Python and R for data analysis
• Multi-omics and medical data applications
The program focuses on using computational and statistical methods to extract meaningful insights from complex biological and health-related datasets.
Bachelor's Degree in Health Techniques – Health Statistics
Bachelor’s degree focused on health statistics, data management, research methodology, and public-health information systems.
Key areas included:
• Descriptive and inferential statistics
• Health data collection, cleaning, and analysis
• Research methodology and study design
• Health indicators and monitoring
• Public-health information systems
• Data analysis using Excel, R, and SPSS
• Reporting and interpretation of health data
The program combined statistical training with practical applications in healthcare and public-health settings.
Key areas included:
• Descriptive and inferential statistics
• Health data collection, cleaning, and analysis
• Research methodology and study design
• Health indicators and monitoring
• Public-health information systems
• Data analysis using Excel, R, and SPSS
• Reporting and interpretation of health data
The program combined statistical training with practical applications in healthcare and public-health settings.
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Working hours
Monday
From08h00To18h00
Tuesday ▪ Today
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday
Closed
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