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Registration: 04.12.2025

Alejandro Vargas

Specialization: Junior Data Scientist
Passionate about data, focused on extracting meaningful insights and bringing clarity to complex problems. — Experienced in data collection, preparation, analysis, visualization, and modeling using leading Python and R libraries. — Quick learner with a strong aptitude for problem-solving. — Eager to contribute to a dynamic and collaborative environment. Certifications: — Microsoft Azure Data Scien t ist Associate. — Career Essentials in Data Analysis by Microsoft and LinkedIn. — CS50 Introduction to Artifi cial Intelligence with Python. — EFSETEnglishCertificate.
Python SQL Linux Excel Apache HTML Azure Plotly Beautiful Soup Scrapy Git CSS Seaborn Docker R Selenium pandas
Passionate about data, focused on extracting meaningful insights and bringing clarity to complex problems. — Experienced in data collection, preparation, analysis, visualization, and modeling using leading Python and R libraries. — Quick learner with a strong aptitude for problem-solving. — Eager to contribute to a dynamic and collaborative environment. Certifications: — Microsoft Azure Data Scien t ist Associate. — Career Essentials in Data Analysis by Microsoft and LinkedIn. — CS50 Introduction to Artifi cial Intelligence with Python. — EFSETEnglishCertificate.
Python SQL Linux Excel Apache HTML Azure Plotly Beautiful Soup Scrapy Git CSS Seaborn Docker R Selenium pandas

Skills

Python
SQL
Azure
Linux
Excel
pandas
R
HTML
CSS
Docker
Scrapy
Selenium
Beautiful Soup
Apache
Seaborn
Plotly
Git

Work experience

Junior Data Scientist
06.2025 - 08.2025 |Projects: E-commerce Recommendation Engine
Pandas, MySQL, Numpy, Optuna, FastAPI, Apache Airflow, Gradio, Docker
● End-to-end implementation of a deep learning-based recommendation system with TensorFlow Recommenders, achieving 55% accuracy in predicting correct products within top-50 recommendations.
Junior Data Scientist
05.2025 - 06.2025 |Projects: Sales Time Series Forecasting
Tidyverse, Fable, Feasts, Fabletools, Quarto, Shiny
● Forecasted over 3,500 time series for multiple products and stores using ARIMA and STL+ETS predictive models. ● Integrated the solution into an interactive Shiny dashboard for real-time decision-making.
Junior Data Scientist
03.2025 - 03.2025 |Projects: AltScore Kaggle Competition
GeoPandas, Scikit‐learn, XGBoost, LightGBM, CatBoost, SHAP
● Performed data collection, cleaning, and feature engineering. ● Trained and interpreted ensemble tree-based models using SHAP for explainability. ● Achieved a Top-5 rank on the public leaderboard.

Educational background

Geophysics (Bachelor’s Degree)
2016 - 2023
FCEFN, UNSJ

Languages

EnglishProficient