Business Analyst Data Analysis

GIANCARLOS

ULLOA

E D U C A T I O N

E X P E R T I S E

C O N T A C T

S K I L L S / S O F T W A R E

W O R K E X P E R I E N C E

BUSINESS ANALYST

- BASc

Computer Engineering

Completed Credits Towards a

Miami Dade College

**********.*@*****.***

786-***-****

Jacksonville, Florida

Advanced Excel

SQL

Tableau

Power BI

Python

Machine Learning

Data Cleaning

Data Analysis

Problem Solving

Database Management

Communication

Detail Oriented

Problem Solving

Collaborative

Management Skills

Visualization

IBM Data Analyst Professional

Certificate

UCDAVIS SQL for Data Science

linkedin.com/in/giancarlosu

giancarlosu.github.io/AnalystPortfolio/

Best International Realty - Realtor Jax, FL

2023 - Current

Analyzed client data to identify key trends and insights, enhancing the ability to provide tailored property solutions. Developed and maintained client databases, enabling more effective relationship management and data-driven decision-making. Giagio Foods - Owner & Operator Jax, FL

2021 - 2023

Utilized data analysis to achieve profitability within the first year by optimizing pricing strategies and cost management. Conducted market research and data analysis to understand customer behavior and preferences, driving product development and marketing efforts.

Amigos Food Factory - Operations Analyst Santiago D.R. 2017 - 2021

Google Data Analytics

Professional Certificate

L A N G U A G E S

English Spanish

Google Get Started with Python

Implemented digital sales systems that improved data collection, analysis, and reporting, leading to enhanced customer service and business performance.

Collaborated with stakeholders to document business requirements, ensuring alignment with project goals.

Analyzed inventory data to identify trends and improve stock management, reducing waste and optimizing supply chain processes.

Created financial forecasts and statistical models for stakeholder presentations, supporting data-driven decision-making and business planning.

Led data-driven process redesign initiatives to streamline operations, improve productivity, and reduce cycle times.

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