I will deliver Evidence-based insights from your data, leveraging the power of analytics, machine learning (ML) & artificial intelligence (AI) using programming sotwars such as SAS, R, Python, STATA, Power BI, Tableau & Excel.

Whether from a simple idea, a synopsis or a complex protocol, your business or your research project will turn a mastered decision road map.

Let's discuss your project now!

Why choose my services ?

A short bio of myself:
- I am an over 10 years of statistical and analytics projects design and execution with a passion to solve real-word research and business challenges using AI and ML tools, including SAS, R, Python, STATA, Power BI, Tableau & Excel along with SQL, NoSQL & NewSQL.

- Proficient in deploying statistical modeling & machine learning projects for identifying patterns and for generating evidence-based information that drive business KPIs, I aim at helping researchers, stakeholders and organizational leadership understand and value their data in innovative useful way.

- Based on data and ML + AI solutions, I provide my customers with knowledge they can trust in the moments that matter, inspiring bold new innovations across research and business projects.

Should your project pertains to any of the below listed business domains:
- Clinical research;
- Market research;
- Risk modeling;
- Business data analysis;
- HR analytics;
- Teaching & coaching.

Based on the agreed protocol or protocol synopis along with the related data, I proceed the following way :

- Transform your business requests into valuable decision process;
- Gather data from both internal and external (web scraping and API) sources;
- Cleaning and validate data through data integration and data quality management (DQM);
- Randomly create learning, Testing and Validation sets (when suitable);
- Pattern discovery and visualization through Exploratory Data Analysis (EDA, Multi dimensional Scaling) using Power BI, R/ggplot2, SAS/Eguide, QlikView/Qlik Sense;
- Predictive and Prescriptive Modeling using SAS, Rstudio and Python along with the appropriate Machine Learning and Analytics techniques);
- Reporting: R/markdown, SAS/Report, Business Object, MS Office tools;
- Presentation & scenarios discussion.

Whether through frequentist methods or bayesian methods, I will address your project by consistently applying any one or a blend of the following techniques:

- Parametric (t-test/TOST, ANOVA, Linear regression);
- Non-parametric (Wilcoxon, Kruskal-Wallis, Mc Neymar, Logistic regression
- Semi-parametric (Survival analysis, and Cure (binary, multinomial and ordinary)models);
- Structural & marginal models;
- Mixed effect modeling;
- Time series;
- PCA, EFA, Structural Equation Modeling, Clustering, Random Forest;
- Meta analysis & Network meta analysis (NMA), Indirect treatment comparison (ITC, MAIC, STC).

Once you place your order, I am committed to conducting the requested analyses tailoring them to your needs. At the end of my work, you will receive the results in the format you specified, ready to be used for your strategic and operational decisions.