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alessandro sanabria

@alessandrosanabria

Data Analyst and Industrial Engineer skilled in SQL, Python, KPIs, and business intelligence for data-driven decision-making.

Costa Rica

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What I'm looking for

I’m looking for an entry-level data analyst role where I can turn SQL and Python analysis into actionable KPI insights, build dashboards, and grow through continuous learning in a data-driven team.

Detail-oriented Data Analyst with a technical degree in Data Analytics and a strong academic background in Industrial Engineering. Skilled in Python, SQL, data visualization, KPI analysis, business intelligence, and AI-driven tools to support strategic and data-driven decision-making.

Throughout my professional and academic journey, I have worked on multiple data analysis and business intelligence projects, including HR Analytics, Super Store Analysis, and Olympics History datasets, where I applied data mining, dashboard development, statistical analysis, and visualization techniques to transform complex data into actionable insights.

Known for being highly organized, detail-oriented, and adaptable, I thrive in fast-paced environments where continuous learning, problem-solving, and professional growth are essential.

Experience

Work history, roles, and key accomplishments

Olympics History SQL Analysis

Personal Project

Sep 2025 - Present (8 months)

Used PostgreSQL to analyze athletic performance, how the games evolved, and trends across Olympic editions. Wrote queries using aggregated functions, CTEs, JOINs, and CASE statements to support comprehensive analytical reporting.

PostgreSQL SQL Data Analysis

HR Analytics Project

Personal Project

Jun 2025 - Present (11 months)

Analyzed employee data with Python to identify key drivers of attrition and uncover patterns supporting data-driven retention strategies. Aggregated and visualized datasets using pandas, matplotlib, and seaborn to deliver actionable insights for HR decision-making.

Python Pandas Matplotlib SeaBorn Data Visualization KPI Analysis Data Mining Business Intelligence

Super Store KPI Analysis

Personal Project

Apr 2025 - Present (1 year 1 month)

Conducted KPI analysis across products, regions, categories, and customer segments to pinpoint where to target or avoid for improved profitability and operational performance. Built advanced visualizations in Python and designed dashboards to present findings effectively.

Python Pandas SeaBorn KPI Analysis Dashboarding Business Intelligence Data Visualization Segmentation

Education

Degrees, certifications, and relevant coursework

FIDELITAS University

Bachelor’s in Industrial Engineering, Industrial Engineering

2022 -

Pursuing a Bachelor’s degree in Industrial Engineering with coursework in optimization, process improvement, quality control, project lifecycle management, and quality assurance.

CENFOTEC University

Technician in Data Analysis, Data Analysis

2024 - 2025

Completed a Technician program in Data Analysis covering business insights, statistical analysis, data mining, workflow analysis, and ETL (Extract, Transform, Load).