Summary
Overview
Work History
Education
Skills
Timeline
Generic

Nicolas Swaya

Austin

Summary

Experienced data professional skilled in advanced analytics and engineering, transforming complex data into actionable business insights. Collaborates effectively with stakeholders to deliver scalable solutions across departments. Demonstrated success in leading data projects that drive tangible business outcomes.

Overview

4
4
years of professional experience

Work History

Data Scientist

Sciplay
10.2023 - Current
  • Designed and built an AI analytics system using RAG technology, vector similarity search, and NLP that bridges the institutional knowledge gap in mobile game operations by tracking and analyzing up to 15 daily changes, connecting them to business outcomes, and transforming tribal knowledge into a searchable repository of insights for data-driven decision making.
  • Engineered and deployed a fully automated forecasting engine that achieved a 0.7 MAPE in predicting Daily Active Users (DAU) and a 200 Mean Absolute Error (MAE) for marketing-driven installs using champion/challenger model tournaments with drift detection; delivered executive-ready insights through Tableau dashboards, enabling data-driven player engagement strategies
  • Led development and implementation of CUPED (Controlled-Experiment Using Pre-Existing Data) methodology for A/B testing, enabling statistically significant hourly experiments and accelerating product decision-making cycles from days to hours.
  • Spearheaded release monitoring strategy for game updates, leveraging A/B testing methodology to analyze technical and performance KPIs across user segments.
  • Engineered advanced user segmentation model utilizing principal component analysis (PCA) and clustering algorithms, providing Product teams with actionable insights for targeted feature development and marketing initiatives.
  • Partnered cross-functionally with Product Managers and Engineers to drive end-to-end analytics strategy for new game feature, including cohort analysis, metric definition, and implementation specifications for performance tracking.
  • Implemented a new form of sequence analysis for repeat purchasers and 'out of coin' players to create insights into user behavior.
  • Developed and optimized complex SQL queries to analyze large-scale datasets, creating intuitive Tableau dashboards that transformed raw data into actionable business intelligence for cross-departmental decision making.

Data Scientist

Doma Holdings inc.
01.2022 - 11.2023
  • Architected ML pipeline for real estate loan product integrating credit bureaus and AVM vendor APIs for automated underwriting decisions.
  • Productionized XGBoost price inference model to predict market fluctuations and enhance loan risk assessment.
  • Built AWS Textract-powered document processing system to analyze real estate contingencies and predict cancellation risk.
  • Implemented serverless architecture using AWS Step Functions/Lambda to consolidate email and inference workflows.
  • Created Snowflake SQL queries and PowerBI visualizations to extract data and deliver actionable insights.
  • Led cross-functional teams to optimize data strategy while ensuring regulatory compliance and business alignment.

Education

Economics -

Loyola Marymount University
09.2014

Skills

  • Proficient in Python
  • Data manipulation using SQL
  • Tableau data visualization
  • Machine Learning
  • Automated workflows
  • Data analysis expertise
  • Proficient in agile practices

Timeline

Data Scientist

Sciplay
10.2023 - Current

Data Scientist

Doma Holdings inc.
01.2022 - 11.2023

Economics -

Loyola Marymount University

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