Hire the Best Linear Regression Freelancers
in Spain

Hi, I'm Raha. I'm an economist and data scientist working with fintechs, asset managers, researchers, and policy teams on projects where the analysis has to be defensible. My background is in mathematics (BSc, Sharif University of Technology) and economics (research master's at Universidad Carlos III de Madrid). Four years in, most of my work sits at the intersection of econometrics, time series, and machine learning. What I do most often: Causal inference and policy analysis. DiD, IV, GMM, MLE, Bayesian methods, panel data with fixed and random effects. Useful for program evaluation and treatment-effect work. Time series and forecasting. ARIMA, VAR and VECM with cointegration, state-space models and Kalman filtering. I always benchmark forecasts against a naive baseline before calling them useful. DSGE and quantitative macro. New-Keynesian and RBC models in Dynare, calibration and estimation, impulse responses, shock analysis. I've replicated published work from JBF, AER, and JMCB. Machine learning. Gradient boosting (XGBoost, LightGBM), random forests, LASSO, clustering, PCA, NLP. Cross-validation and temporal splits matter to me, especially with financial data where leakage is easy. Main tools: Python, R, Stata, Dynare. Also MATLAB, Julia, SQL, SPSS, EViews, Gretl, and LaTeX depending on the project. Some recent work: Forecasting pipelines for financial time series DSGE model for monetary and macroprudential policy conflict (Dynare) Backtest of four insolvency models (Altman, Ohlson, Zmijewski, Springate) with ESG augmentation, 84 specifications Stata regressions on sports performance data, with replication files OECD and Eurostat economic indicators with documented gap-filling SPSS factor analysis and segmentation on secondary datasets NLP on political speech corpora, thematic coding included Replication and extension of Blanchard (2019, AER) on r vs g, updated through 2025 How I work: I like to agree on scope before starting, send progress updates so you're not waiting in silence, and leave you with clean code, a README, and a short plain-language summary alongside the technical writeup. If you have a project in mind, message me with a bit of context and I'll tell you honestly whether I'm the right fit.

Doctor of Psychology, expert in statistical tests for data management and modeling. Support and advice in sampling design and data management, measurement instruments. Psychometric aspect in the production of scales and instruments. Analysis of structural equations, exploratory, confirmatory factor analysis, non-parametric tests, data volumes. Management of analysis tools such as SPSS (17+ years' experience), Jamovi (8+ years experience), R software (7+ years experience), Data processing in R, Python, STATA, RStudio, Data visualization.

I am a sociologist and data analyst with over 14 years of experience in the public and private sectors. I specialize in primary data collection, design of measurable objectives, advanced statistical analysis, and data visualization. My focus is on understanding how systems operate to support informed decision-making. Curiosity and a love of learning drive my professional endeavors.

I'm an economist, data scientist, and university professor with experience across clinical research, business development, and education. For me, data science isn't just about crunching numbers — it's about turning data into insights that solve real business problems or drive meaningful outcomes for organizations. My background includes building predictive models, and executing advanced machine learning projects using Python and R. I've led teams, created sales forecasts and competitive analysis frameworks using BI tools, and delivered technical presentations to stakeholders across European and US markets. More recently, I've been also working as a freelance biostatistician for a CRO, supporting clinical research projects with statistical analysis and study design.

I am a senior Data Scientist with 8+ years of experience. I am very passionate about my work. I have deep expertise in statistics and machine learning. Both with python and R. I can do deep analysis and help business make better data-driven decisions. I have experience with experimentation, A/B testing, Marketing Mix Models and more! I also have experience with monetization and pricing models. Constantly learning, currently I am immersed in topics such as causal inference and Bayesian statistics.