Andrew Hidalgo - Freelance Data Analyst & IT Support Consultant - Self-Employed | Himalayas
AH
Open to opportunities

Andrew Hidalgo

@andrewhidalgo

No.

United States

What I'm looking for

I'm seeking a role that allows me to leverage my analytical skills in a collaborative environment, focusing on data-driven decision-making and continuous learning.

Will not provide or share.

Experience

Work history, roles, and key accomplishments

SE
Current

Freelance Data Analyst & IT Support Consultant

Self-Employed

Mar 2022 - Present (3 years 3 months)

Built Python and Excel dashboards to automate reports and present data insights, and integrated APIs to gather market and pricing data. Wrote SQL and Python scripts for data cleaning and transformation, while also simulating help desk scenarios and troubleshooting software/hardware issues for clients.

UP

Part-Time Supervisor

UPS

Feb 2022 - Jan 2024 (1 year 11 months)

Led a team of 10–12 in a fast-paced warehouse environment, ensuring safety compliance and completing daily quality reports. Managed shift scheduling and maintained employee time accuracy, communicating with multiple departments to meet operational deadlines.

UP

Package Handler

UPS

Apr 2016 - Feb 2022 (5 years 10 months)

Processed and loaded over 300 packages per hour with high accuracy, consistently recognized as Employee of the Month. Trained new employees on proper loading methods and contributed to testing and implementing safer loading workflows.

Education

Degrees, certifications, and relevant coursework

University of Miami logoUM

University of Miami

FinTech Bootcamp, FinTech

Grade: A+

Activities and societies: Developed Python-based projects for financial analysis and data visualization. Cleaned and visualized datasets using Pandas and Matplotlib. Applied NLP with NLTK to analyze textual data. Used APIs to retrieve financial data. Uploaded work to GitHub: github.com/Aky0n.

Completed a comprehensive FinTech Bootcamp, achieving an A+ average. The program focused on developing Python-based projects for financial analysis and data visualization, including cleaning and visualizing datasets using Pandas and Matplotlib. Applied Natural Language Processing with NLTK to analyze textual data and utilized APIs for financial data retrieval.

Tech stack

Software and tools used professionally

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