Data Scientist & Data Engineer — Machine Learning, ETL Pipelines and real-world business solutions.
I help businesses make better decisions using data, transforming complex datasets into actionable insights through machine learning and analytics.
ML Projects
Systems Built
Model Accuracy
Years Experience
Advanced
Advanced
Advanced
Intermediate
Intermediate
Intermediate
Intermediate
Advanced
Intermediate
Intermediate
Random Forest model trained on 284K real transactions. ROC-AUC 0.975. Full pipeline with SMOTE, FastAPI and production web app.
Game recommendation engine based on cosine similarity.
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Full ETL pipeline deployed on AWS with automation.
ML for optimization of electric taxis in New York using real data.
Road accident analysis with interactive visualizations and KPIs.
Goal prediction app for football matches using ML and Streamlit.
Develop a prediction model to estimate income of individuals outside the formal labor market, using machine learning algorithms focused on this population.
Analyze and process relevant data to discover key patterns that improve the accuracy of income estimation.
Define and categorize socioeconomic levels based on projected income, including a confidence interval and generating recommendations that can support financial decisions.
Supported the collection, cleaning, and analysis of large datasets to generate actionable insights for strategic decision-making.
- Developed reports and interactive dashboards to visualize key metrics and support business strategies.
- Automated data processes to streamline workflows and reduce processing time.
- Collaborated with cross-functional teams to identify business needs and solve problems through data analysis.
- Worked with tools such as Python, SQL, Power BI, and Excel for data analysis, visualization, and reporting.
- Gained experience handling relational databases and cloud-based data tools, including BigQuery.
Available for freelance projects, remote roles and collaborations.