I am a proficient consultant specializing in statistics and finance, with a focus on data science. I hold a degree in Statistical and Financial Engineering from the National Institute of Statistics and Applied Economics. My commitment is to provide clients with invaluable support, articulate explanations, and efficient coding solutions at reasonable rates.
With more than five years of hands-on experience, I have cultivated advanced expertise across data analysis , statistics, finance, and data science, substantiated by my contributions to diverse projects. My knowledge spans a wide array of areas, including:
✅ Advanced statistics employing machine learning techniques like supervised and unsupervised clustering (e.g., k-Nearest Neighbors, Naive Bayes, Classification Trees…)
✅ Statistical modeling and econometrics encompassing linear regression, GLM, Logit, Probit, and Panel data analysis
✅ Time series analysis, specifically ARIMA/ARCH/GARCH models
✅ Descriptive and inferential statistics, including ANOVA
✅ Stochastic finance, involving simulation of financial models, financial econometrics, financial markets, and portfolio management
✅ Market and credit risk modeling, encompassing default probabilities and loss given default (LGD) analysis
✅ Survey measurement analysis such as reliability, content, and construct validity (e.g., Cronbach's Alpha), Exploratory and Confirmatory Factor Analysis, Structural Equation Modeling, and Hypothesis Testing
Moreover, I am proficient in data cleaning, manipulation, visualization, dashboard creation, and statistical modeling across various software platforms:
✅ R programming language (certified in R programming and Data Science with R)
✅ Python
✅ SPSS
✅ SAS programming
✅Excel, VBA Excel, and Excess
✅SQL
✅ STATA and EVIEWS
✅ Power BI/Tableau/Power Query
I am enthusiastic about the opportunity to contribute to your project. Please do not hesitate to contact me at your convenience.
So let’s connect!