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Simonne Arancibia Cardenas

@simonnearancibiacard

Message

Aspiring Data Scientist who turns data into predictive models and actionable business insights.

Australia

Message

What I'm looking for

I’m looking for a role where I can build predictive and analytical models end-to-end, improve data quality, and communicate insights via dashboards—collaborating closely to drive measurable business impact.

I’m an aspiring Data Scientist with a strong technical foundation built through intensive project-based training. I’m proficient in Python and SQL, and I enjoy taking complex datasets through the full EDA and modeling workflow to deliver clear, business-ready outcomes.

In my recent Data Scientist role at TripleTen Bootcamp, I performed end-to-end Exploratory Data Analysis and data wrangling for complex datasets (+10K records). I designed and implemented machine learning models for regression, classification, and clustering, and I evaluated model performance using F1, ROC-AUC, and RMSE—then translated the results into executive-style reporting through Tableau and Power BI.

Earlier, as a Product Data Analyst, CX Data Analyst, and Risk Data Analyst, I strengthened data quality by normalizing and validating pricing, logistics, and structured datasets, and I used Root Cause Analysis to improve operational decisions. I bring a practical, results-focused mindset—maintaining traceability with GitHub and turning insights into dashboards, automation opportunities, and measurable improvements.

Experience

Work history, roles, and key accomplishments

Data Scientist (Bootcamp)

TripleTen

Jan 2024 - Jan 2025 (1 year)

Completed end-to-end exploratory data analysis and data wrangling on datasets with 10K+ records to identify drivers for predictive modeling. Built regression, classification, and clustering models for churn prediction and pricing optimization, and presented results through Tableau and Power BI dashboards while maintaining version control via GitHub.

Data Wrangling predictive modeling regression Clustering scikit learn Tableau Power BI Model Evaluation (F1 ROC AUC RMSE)Git Github

Product Data Analyst

Wafex

Jan 2023 - Jan 2025 (2 years)

Managed and optimized product data for 5,000+ SKUs across multiple suppliers, enforcing business rules for consistent cost and inventory tracking. Standardized and normalized pricing and logistics data and implemented validation checks to detect inconsistencies and duplicates, improving inventory reporting accuracy.

Product Data Management Data Normalization Data Validation Business Rules SQL

CX Data Analyst

Adecco

May 2022 - Oct 2023 (1 year 5 months)

Analyzed unstructured customer interaction data (voice, text, chat) to identify operational bottlenecks impacting response time performance. Conducted root cause analysis that increased CSAT to >4.5 and identified workflow automation opportunities to improve operational efficiency.

Customer Experience Analytics Root Cause Analysis CSAT

Risk Data Analyst

Ministry of Health - Chile

Apr 2021 - Mar 2022 (11 months)

Organized and maintained structured datasets derived from inspection and safety reports to ensure data accuracy and regulatory compliance. Applied analytical techniques and root cause analysis to identify patterns supporting safety improvements and monitored the impact of public health interventions on training participation and field maintenance processes.

Regulatory Compliance Root Cause Analysis Safety Data Analysis

Data & Operations Coordinator

Aspen Clean

Mar 2020 - Mar 2021 (1 year)

Coordinated operational and inventory data management to support resource allocation and scheduling decisions. Reviewed and corrected data discrepancies to improve the reliability of internal management reports while handling sensitive operational data under confidentiality protocols.

Inventory Management Operational Data Coordination Resource Allocation Scheduling Confidentiality

Project & Team Coordinator

Municipality

Jan 2018 - Feb 2020 (2 years 1 month)

Coordinated municipal projects and developed performance tracking reports to monitor progress and support decision-making. Facilitated cross-department communication to help ensure adherence to project standards and operational efficiency.

Project Coordination performance reporting KPI Tracking Operational Efficiency