Junior Data Analyst with Biology Background

JUNIOR DATA ANALYST BIOLOGIST WITH A DATA-DRIVEN APPROACH

JOSÉ ENRIQUE PIÑANGO BUSTAMANTE

Contact Information

WhatsApp: +52-222-*******

Email: **********.**@*****.***

LinkedIn: www.linkedin.com/in/josé-enrique-piñango-analisisdedatos GitHub: https://github.com/Xmahana1

Portfolio: https://xmahana1.github.io/

Professional Profile

Biologist with training in data analysis, skilled in Excel, Python and SQL, as well as dashboard creation in Tableau. Focused on transforming data into actionable insights for decision-making and optimizing processes through data analysis and visualization. Seeking a professional opportunity in data analysis to continue developing and contributing value to my team.

Technical Experience

Junior Data Analyst TripleTen

Responsibilities:

• Develop end-to-end data analysis projects: data cleaning, exploration, visualization, and presentation of results.

• Apply statistical techniques, cohort analysis, and customer segmentation to support data-driven decision-making.

• Implement A/B testing, predictive models, and retention analysis to evaluate marketing and product strategies.

• Calculate key business metrics to measure profitability and return on advertising investment.

• Create interactive dashboards in Tableau to communicate insights to non-technical teams. Achievements:

• Applied statistical techniques, cohort analysis, and customer segmentation to optimize data-driven decisions.

• Implemented A/B testing and predictive models to improve evaluation of marketing and product strategies.

• Analyzed business metrics and profitability indicators to identify opportunities for improving advertising investment.

• Created interactive Tableau dashboards to clearly communicate insights to non-technical teams.

• Conducted retention analysis to understand user behavior and guide strategic actions. Key Technical Projects

TripleTen Bootcamp / https://github.com/Xmahana1

• Video Game Analysis: Analyzed historical data to identify factors associated with global sales success using EDA and visualization.

Tools: Python, Pandas, Matplotlib, Seaborn.

• Instacart: Examined purchasing patterns and order frequency to understand customer behavior and retention. Tools: Python, Pandas, Matplotlib, Seaborn.

• Bookstore (SQL): Evaluated author performance and book sales using SQL queries and aggregated metrics. Tools: SQL.

• Telecommunications (CallMeMaybe): Identified inefficient operators using service quality metrics and operational performance analysis.

Tools: Python, Pandas, SQL, Matplotlib.

• Customer Segmentation: Applied clustering models to segment customers based on loyalty and churn probability.

Tools: Python, Pandas, Scikit-learn.

• Marketing and ROMI: Calculated key profitability metrics to evaluate the impact and efficiency of advertising campaigns.

Tools: Python, Pandas, SQL.

• A/B Testing: Designed and analyzed controlled experiments to validate hypotheses and optimize conversion rates.

Tools: Python, Pandas, SciPy, Statsmodels.

• YouTube Dashboard: Developed an interactive dashboard to monitor video trends by country and category. Tools: Tableau, SQL.

Education

Data Analyst,.TripleTen (Online Bootcamp) (Dec 2024 – Oct 2025) MSc in Entomology. Central University of Venezuela (2005) Bachelor’s Degree in Biology, Major in Ecology, Central University of Venezuela (2002) Technical Skills

• Data analysis, cleaning, and manipulation using Pandas and NumPy.

• Analytical visualizations with Matplotlib, Seaborn, Plotly, and Dash.

• Design and development of interactive dashboards in Tableau.

• SQL query development and optimization.

• Process automation and report generation using Python.

• Development of data-driven projects focused on business metrics.

• Documentation and communication using Microsoft Office Suite (Excel, PowerPoint, Word).

• Version control and collaboration using GitHub.

Core Competencies

• Analytical thinking and results-oriented approach supported by a strong scientific background.

• Ability to structure, analyze, and interpret data accurately for decision-making.

• Skill in transforming complex information into clear, measurable, and actionable insights.

• Organization and autonomy in managing analytical projects and metrics development.

• Commitment to deadlines, analysis quality, and validation of results.

• Effective communication to translate technical findings for non-technical audiences.

• Proactivity and curiosity focused on innovation and continuous improvement.

• Application of scientific reasoning and analytical methodologies to problem-solving.

• Collaboration with multidisciplinary teams to implement data-driven solutions. Certifications

Excel 2019 Associate – Microsoft Office Specialist Languages

English: Intermediate (B1)

Spanish: Native

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