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Experienced data science professional, specializing in predictive modeling, financial risk control, cloud computing with Python and University Lecturer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
video_editor_and_shorts
November 3, 2025 – November 10, 2025
video_editor_and_shorts — GitHub repository
View Projectmarketing_funnels_gestor
July 26, 2023 – July 26, 2023
This repository contains a Streamlit dashboard connected to a sqlite db and allow thecreation and administration of marketing funnels
View Projectpathrise_program_selection_simulation
July 14, 2023 – July 14, 2023
This repository contains a Streamlit dashboard to simulate and select the best pathrise program for you
View Projectgoogle_ttsp_read_books_in_streamlit
July 12, 2023 – July 12, 2023
This repository contains a Streamlit dashboard that allow read a .txt book and read it for you
View Projectbook_summarizer_streamlit_chat_gpt_api
July 12, 2023 – July 12, 2023
Streamlit API to summarize PDF books using ChatGPT
View Projectfull_automl_pycaret_streamlit
July 4, 2023 – July 4, 2023
This repository contains code for a full-blown AutoML pipeline using PyCaret and Streamlit. The pipeline automatically selects the best machine learning algorithm for a given dataset, and then deploys the model to a Streamlit app.
View Projectstreamlit_testet_google_sheets
July 4, 2023 – July 4, 2023
A Streamlit application that allows users to take a quiz. The quiz is generated from a Google Sheet of questions and answers.
View Projectpublic_contracts_evaluation_umap_tsnet
July 4, 2023 – July 5, 2023
This repository contains the code and data for a project that evaluates the transparency of public contracting in Colombia. The project compares two methodologies for reducing the dimensionality of data: tsnet and umap.
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily focused on personal projects, primarily using Python and Streamlit for data science and web applications. This indicates a strong interest in practical application and rapid prototyping. The diversity of projects (summarizers, marketing funnels, AutoML, public contracts evaluation) shows a broad interest within the data science domain. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects align well with a Data Scientist role, particularly one that involves building and deploying models or interactive tools.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to conceptualize and execute projects independently. However, without formal work experience or psychometric test results, it is difficult to assess collaboration, stress handling, or other operational fit aspects.