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Bautista VernaBV
Open to opportunities

Bautista Verna

@bautistaverna

Data science student and CRM-savvy analyst focused on data quality.

Argentina
Message

What I'm looking for

I seek remote or hybrid roles where I can apply data analysis, CRM automation, and data-quality practices to improve processes and support data-driven decisions.

I am a data science student with hands-on experience in data analysis, data wrangling, and process automation, combining an engineering background with practical CRM expertise. I have delivered rule-based automation in Salesforce, built internal dashboards, and performed cross-source data quality evaluations to support management decisions.

I am proficient in Python (pandas, numpy, matplotlib, seaborn, scikit-learn), SQL, Power BI, Excel and ETL practices, and I collaborate directly with clients to validate and deliver reliable data products. I am detail-oriented, committed to data quality, fluent in English, and available for remote or hybrid roles.

Experience

Work history, roles, and key accomplishments

AR
Current

Data Analyst & Process Automation Specialist

Artekium

Oct 2024 - Present (1 year 5 months)

Analyzed workflows and operational data to identify inefficiencies, developed Salesforce Flow rule-based automations that reduced manual entry and improved data consistency, and built dashboards and reports to support management decisions.

Education

Degrees, certifications, and relevant coursework

Universidad Católica de Rosario logoUR

Universidad Católica de Rosario

Bachelor's Degree in Data Science, Data Science

2024 -

Pursuing a Bachelor's Degree in Data Science with coursework in statistics, database systems, machine learning, and data visualization; program in progress.

Universidad Tecnológica Nacional – Facultad Regional Rosario logoUR

Universidad Tecnológica Nacional – Facultad Regional Rosario

Systems Engineering (incomplete), Systems Engineering

2020 - 2023

Completed three years of Systems Engineering studies with a strong foundation in programming, algorithms, database design, and systems architecture.

Tech stack

Software and tools used professionally

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