Oscar Castanaza

Summary

Certified Data Scientist with a strong foundation in Python, specializing in ETLs, pipelines, and creating both supervised and unsupervised machine learning models using Scikit-Learn and TensorFlow. Passionate about leveraging data to derive meaningful insights. Experienced in both collaborative team environments and thriving in solo work settings. Disciplined, focused, and committed to delivering high-quality results. Open to challenges that push the boundaries of my skills.

Overview

Certification

Work History

Data Scientist | Wine Quality Classification

Teso La Monja

07.2023 - 08.2023

Enhanced data-driven decision making by implementing machine learning models and algorithms.
Optimized business processes for increased efficiency through detailed data analysis and visualization tools.
Developed custom data analytics solutions, leading to improved operational performance and strategic planning.
Collaborated cross-functionally with stakeholders, ensuring alignment on key initiatives and project goals.

Data Analyst - Health Insurance

Private Client

05.2023 - 06.2023

Conducted comprehensive data analysis within the health insurance sector, focusing on key areas such as insurance charges, smoking habits, and regional variations.
Designed and executed hypothesis tests to determine the impact of smoking on insurance charges, revealing a significant difference between smokers and non-smokers (p-value: 8.27e-283).
Utilized statistical techniques, including t-tests and chi-square tests, to analyze gender-based differences in smoking habits, identifying a significant disparity between men and women (p-value: 0.0065).
Explored regional variations in insurance charges through a one-way ANOVA test, demonstrating a significant difference in charges among different regions (p-value: 0.0309).
Employed data visualization tools, including Matplotlib and Seaborn, to create insightful visual representations such as box plots and bar plots.
Collaborated with cross-functional teams to communicate findings effectively and provide data-driven recommendations for informed decision-making.
Successfully loaded and preprocessed data from diverse sources, ensuring data quality and integrity throughout the analysis.
Applied strong analytical skills and proficiency in Python programming to manipulate and analyze data using libraries such as Pandas and NumPy.

Education

Certification - Data Science

Coding Dojo

Los Angeles

Skills

- Python

- Data Science

- ETL - Machine Learning (Scikit-Learn, TensorFlow)

- Group Collaboration

- Independent Work

- Problem Solving - Discipline - Data Extraction from APIs

- SQL

- Tableu

- Bilingual

Certification

- Coding Dojo [Data Science]

- Sololearn [Python Core]

- Coursera [Data Science Math]

- GoogleLearn [ Personal Productivity]

Languages

Spanish

Native language

English

Advanced

Russian

Elementary

Timeline