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Katherine Susy Tomala Panchana

@katherinesusytomalap

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Data Scientist building end-to-end analytics and ML systems that turn data into business decisions.

Ecuador

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What I'm looking for

I'm looking for a remote data science role where I can own the full modeling lifecycle from exploratory analysis and feature engineering to model evaluation and delivering actionable insights to stakeholders. Ideally at a company where data is central to product or business decisions, not an afterthought.

I’m a Data Scientist with 3+ years of applied analytics and ML experience across retail, pharma, consulting, and construction. I build end-to-end data solutions—from ETL pipelines and SQL transformation logic to clustering models, forecasting systems, and self-service BI dashboards that influence business decisions.

In my recent work, I’ve delivered production-ready pipelines using DuckDB/BigQuery and multi-table SQL transformation logic that feed directly into model training. I also design data quality standards and documented ETL workflows to ensure reproducible analytics across data and ML teams.

I translate models into real operational impact through forecasting and self-service dashboards, including solutions that eliminated stockouts across 100+ pharma SKUs over consecutive quarters. I pair Python-based predictive work with BI reporting (Power BI, Tableau, Looker Studio) to make insights actionable for leadership and executive stakeholders.

Across Agile environments, I collaborate with ML, PMO, and executive stakeholders to define requirements, validate data integrity, and iterate quickly based on feedback. My approach stays grounded in measurement—reducing delays, improving capacity, automating reconciliation, and turning complex data into clear KPI-driven storytelling.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Datexa Analytics

Sep 2025 - Present (9 months)

Built a DuckDB/BigQuery ETL pipeline across 1.9M+ national registry records, cutting ML model preparation time by 60% and standardizing data wrangling for the ML team. Designed Python forecasting with self-service Power BI dashboards that eliminated stockouts across 100+ pharma SKUs over two quarters with zero data integrity escalations.

DuckDB BigQuery SQL ETL Power BI Data Quality Management Data Modeling ML Pipelines

Data Analyst

Prismanova

Jun 2025 - Sep 2025 (3 months)

Delivered end-to-end analytics for construction and healthcare clients, reducing project delays by 20% and increasing clinic appointment capacity by 18% by owning ERP/Excel ingestion through Power BI and Tableau delivery. Migrated client data and dashboards from Excel/Power BI to MySQL and Tableau, implementing Python-based anomaly detection with no dedicated IT support.

MySQL SQL Python Anomaly Detection ERP Integration Power BI Tableau Data Ingestion Data Validation

Data Analyst

Su Economía

Feb 2023 - May 2025 (2 years 3 months)

Built K-means and hierarchical clustering customer segmentation datasets for a multi-location retail chain, increasing campaign redemption rates by 10% versus generic promotions and enabling a reusable segmentation model. Created 5 KPI dashboards (Power BI/Tableau) and automated profitability, procurement stock visibility, and marketing performance analyses, improving leadership decision accuracy

K Means Power BI Tableau ERP Integration KPI Design Data Storytelling Customer Segmentation

Treasury Intern

MAPFRE

Oct 2022 - Jan 2023 (3 months)

Processed high-volume daily insurance premium payments and managed end-to-end client transfer confirmations in an SAP-based system with zero reconciliation errors. Supported accurate financial transfer handling through validated payment data processing.

SAP Payments Processing Data Validation Accounting Operations Excel Operational Reporting