Gabriela Jachs Stepien Atwell

EXPERIENCE

1. Oct 2025 – Present

   Senior Business Analyst

   Time Wise Luxury LLC · San Diego, CA

   • Increased monthly pipeline by $150,000 by designing lead routing workflows and SOP-driven sales enablement processes, improving speed-to-lead and rep execution.
   • Reduced proposal turnaround time by deploying standardized templates and content automation, generating $75,000 in annual cost savings.
   • Cut operational cycle time by 15% by implementing Airtable workflow automations and documenting requirements to reduce handoffs and bottlenecks.
   • Lifted customer satisfaction by 12% by implementing self-serve scheduling bots and automated status notifications, improving transparency and reducing inbound support volume.
   • Lowered billing discrepancies by 90% by implementing data validation rules and reconciliation logic, preventing repeat exceptions and protecting $40,000 in quarterly losses.

   Operations · Fulfillment · Inventory · Dashboards · Process Improvement
2. Mar 2025 – Oct 2025

   Business Analyst

   Palmetto Energy Solutions · San Diego, CA

   • Recaptured $60,000 in lost revenue by engineering an automated billing recovery pipeline using Google Colab and Zapier across finance, support, and sales workflows.
   • Reduced billing discrepancies by 90% by implementing data validation rules, reconciliation logic, and cross-system workflow integrations to prevent repeat errors and protect $40,000 in quarterly losses.
   • Saved 15+ hours per week by building centralized analytics pipelines and validated reporting dashboards, increasing data precision by 95% for company-wide KPI reporting.
   • Improved operational decision-making by developing an AI-enabled dashboard that applied machine learning validation against sales and operational data for near real-time insights and exception handling.
   • Increased resolution efficiency by 20% by implementing Discord as a centralized operations hub and standardizing asynchronous workflows, ownership, and escalation paths for distributed teams.

   Google Colab · Zapier · Data Reconciliation · AI Reporting · Discord
3. Jun 2023 – Apr 2024

   Business Analyst

   DUAL North America · San Diego, CA

   • Delivered $120,000 in annual efficiency gains by automating intake and workflow processes in Jira and SharePoint, reducing manual handoffs and cycle time across operational teams.
   • Prevented $45,000 in lost premiums by building an error detection and reconciliation engine that surfaced exceptions, improved data quality, and accelerated issue resolution.
   • Reduced post-release defects by 30% by establishing UAT and regression testing protocols, creating test scenarios, and coordinating cross-functional sign-off prior to deployment.
   • Improved policy processing speed by 10% by launching Power BI dashboards that tracked lifecycle KPIs, backlog status, and operational bottlenecks for stakeholder visibility.
   • Sustained 99.9% system uptime by streamlining compliance audit activities and operational controls using enforcement scripts and standardized monitoring practices.

   Jira · SharePoint · UAT · Power BI · Data Reconciliation
4. Jul 2021 – Aug 2022

   Business Analyst — Data Science

   Pistil Data · San Francisco, CA

   • Saved $120,000 annually by reducing churn in high-risk segments through customer segmentation and multivariate analysis that informed retention actions and prioritization.
   • Generated $90,000+ in upsell revenue within six months by identifying purchasing trends using predictive analytics in SQL and Python and translating insights into targeted GTM recommendations.
   • Eliminated 80% of manual reporting by deploying self-service Sigma dashboards that improved KPI accessibility and accelerated sales enablement for three regional go-to-market teams.
   • Increased engagement by 12% by modeling behavioral cohorts in Python using clustering, regression, and data enrichment to identify new audience segments and optimization opportunities.

   SQL · Python · Sigma · Segmentation · Analytics
5. May 2021 – May 2022

   Data Scientist Intern — Bioinformatics

   National Cancer Institute (INCA) · Rio de Janeiro, Brazil

   • Improved lab efficiency by 30% by automating sequencing QC checks using Python and R, saving $40,000 in operational effort and reducing manual review steps.
   • Strengthened dataset reliability by conducting data quality assessments on Human Cell Atlas datasets and identifying and correcting 15 inconsistencies impacting downstream analysis.
   • Reduced genomic data errors by 20% by building repeatable processing workflows and quality control measures for large biological datasets in Python and R.
   • Accelerated stakeholder decision-making by visualizing research findings in interactive dashboards and presenting outcomes that contributed to identifying five potential drug targets.

   Python · R · QC · Data Quality · Dashboards
6. Nov 2020 – Jun 2021

   Data Scientist Intern — Bioinformatics

   CEVS-RS (State Center for Health Surveillance) · Porto Alegre, RS, BR

   • Optimized GAL software databases by refactoring the schema and implementing faster indexing, reducing data retrieval time for 50+ public-health researchers by 40%.
   • Transformed genomic data workflows by creating Python scripts and merging them with existing data pipelines, contributing to a 30% improvement in reporting speed.
   • Fortified data quality control by deploying data validation rules, resulting in a measurable 15% decrease in data errors and enhancing the precision of bioinformatics datasets.

   Databases · Indexing · Python · Pipelines · Data Validation
7. Mar 2018 – Jun 2021

   Research Assistant — Biotechnology

   UFCSPA · Porto Alegre, RS, BR

   • Analyzed bioinformatics datasets using Python (pandas, NumPy, scikit-learn, Biopython) to identify genetic patterns related to autoimmune diseases, improving pattern recognition accuracy by 15%.
   • Implemented data standardization protocols across three research centers, reducing data inconsistencies by 20% and resulting in more reliable research findings for critical autoimmune studies.
   • Collaborated with researchers on data interpretation, translating complex findings into visualizations for publications, contributing to 5+ peer-reviewed publications.

   Python · Bioinformatics · Visualization · Publications