Data Scientist with an insatiable passion for uncovering the hidden stories within data

Words and data are not just tools but potent catalysts that can shape the world we live in. My primary focus lies in harnessing the power of programming and cutting-edge techniques to extract invaluable insights from vast and complex datasets. With expertise in machine learning, MLOps, data visualization, and statistical analysis, I thrive in the realm of data-driven decision-making and strategic consulting.

More about me

Projects

Personal projects and tutorials

Social Network Data Analysis

Social Network Data Analysis (SNDA) is an emerging field in statistics in the recent years, and the Exponential Random Graph Model (ERGM) is a promising approach for modelling network data...

Tutorial R

Sentiment Analysis

Sentiment analysis determines the mood in social media related to products, services, campaigns, and companies. If opinions are predominantly negative, the company can analyze the reasons and respond...

Tutorial Python

Recent Publications

As a researcher, I have published several papers with various co-authors from different disciplines. You can check some of these papers here.

Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects

We introduce a new estimation framework in ERGMs iterating between pseudolikelihood and maximum likelihood estimation approaches for nodal effects and network statistics.

Publication

Bipartite Exponential Random Graph Models with Nodal Random Effects

We examine the inclusion of specific nodal random effects for first- and second-mode nodes for bipartite networks. The predicted nodal random effects deliver reasonable interpretation to understand the network behavior.

Publication

All projects

Latest News

Exciting news (at least for me) is shared, posted, and discussed, hoping to catch up.

New Job

@ Group Data Analytics at Allianz SE.

01/04/2022 08:44

Paper online

My paper got published in Network Science

26/01/2022 13:02