Rocio.data

Data Scientist

https://talent.gravityer.com/rociodata

Data Engineer | AWS & Data Platforms | I design, therefore I exist | Co-leader AWS Girls Argentina

Buenos Aires, Buenos Aires Province, Argentina

Key Strengths

Demonstrated experience with serverless AWS data lake architectures (S3, Glue, Athena, CloudFormation).
Proficiency in Python for data-related projects (ETL, analytics, machine learning).
Experience with machine learning applications, including customer churn prediction (SageMaker), customer segmentation (K-means), and association rule mining (Apriori).
Familiarity with Infrastructure as Code (IaC) using HCL/Terraform for ETL pipelines.
Exposure to IoT data architecture and cost optimization in AWS.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in data science, AWS cloud, and machine learning. This aligns well with a Data Scientist role that values self-driven learning and practical application. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The diversity of projects (data lakes, ETL, ML, IoT) indicates a broad interest within the data domain.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

aws-data-lake-workshop

April 9, 2026 – Present

Workshop nivel 200 en la consola de AWS: construí un Data Lake serverless con Amazon S3, AWS Glue y Amazon Athena. Paso a paso en español, dataset de ventas incluido.

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iot-data-architecture-aws

January 19, 2026 – Present

Cost-effective AWS architecture for ingesting, storing, and querying 5 years of IoT sensor data using a serverless data lake approach.

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serverless-aws-data-lake-with-kiro

December 18, 2025 – December 19, 2025

Cost-optimized serverless AWS data lake using S3, Glue, Athena, CloudFormation, and Kiro. Raw/curated architecture, Parquet, automated crawlers, and zero-idle compute.

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dashboard_de_costos_aws

September 22, 2025 – September 22, 2025

dashboard_de_costos_aws — Dev.to repository

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serverless-etl

September 5, 2025 – September 5, 2025

Terraform-ready, plug-and-play serverless ETL repo

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BumperSats

June 11, 2025 – June 16, 2025

AI-powered satellite collision prevention and debris management using Azure cloud services.

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sales-analytics-dashboard

June 5, 2025 – June 9, 2025

Sales analytics dashboard using python libraries

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customer-churn-prediction

May 27, 2025 – September 17, 2025

customer churn prediction using AWS SageMaker

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customer-segmentation-kmeans

April 17, 2025 – April 18, 2025

Using kmeans ML algorithm to segmentate customers in order to obtain useful insights

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retail_transaction_analysis

February 14, 2025 – May 15, 2025

Ever wondered why some products are frequently bought together? Using the Apriori algorithm, I analyzed real-world retail transactions to uncover hidden shopping patterns and enhance product recommendations.

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Key Strengths

Demonstrated experience with serverless AWS data lake architectures (S3, Glue, Athena, CloudFormation).
Proficiency in Python for data-related projects (ETL, analytics, machine learning).
Experience with machine learning applications, including customer churn prediction (SageMaker), customer segmentation (K-means), and association rule mining (Apriori).
Familiarity with Infrastructure as Code (IaC) using HCL/Terraform for ETL pipelines.
Exposure to IoT data architecture and cost optimization in AWS.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Rocio.data

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit