Raymart Ortega Biasbas

Data Scientist & AI/ML Engineer with 3+ years in Business Intelligence and analytics. Skilled in Python, R, SQL, and cloud platforms. Experienced in machine learning, statistical analysis, model deployment, and data visualization. Passionate about MLOps, scalable AI solutions, and delivering measurable business impact.

Professional Experience

AI/ML Engineer Mar 2025 - Present
Accenture

Design and deploy AI/ML solutions using Python, statistical modeling, and machine learning algorithms. Deliver production-ready, scalable solutions in collaboration with cross-functional teams.

Data Science Practitioner / Business Analyst Oct 2025 - Present
Diamond-Tier Client (Global Technology Company)

Leading dashboard optimization and data engineering initiatives to enhance business intelligence capabilities.

  • Dashboard Performance Optimization – Migrated and optimized data sources, enabling dashboards to update ~70% faster.
  • Automated Analytics Pipelines – Built end-to-end pipelines for scorecards and dashboards, eliminating manual reporting.
  • Data Quality & Governance – Implemented validation checks for accurate, trusted metrics across dashboards.

ML Engineer May 2025 - Aug 2025
Confidential Client — Battery Analytics

Delivered end-to-end, production-grade machine learning solutions in AzureML for Battery Management Systems (BMS), owning the full ML lifecycle from data labeling and feature engineering to deployment, monitoring, and optimization.

  • Production ML at Scale – Deployed supervised ML models in AzureML for real-time battery health monitoring.
  • Predictive Maintenance – Built time-series models to detect failures proactively, reducing downtime.
  • Safety & Risk Intelligence – Developed SoS models to quantify battery risk and ensure reliable operations.

Data Scientist (Jr. - Sr.) Dec 2021 - Dec 2024
Phoenixfield Inc.

Performed statistical analysis, machine learning modeling, and dashboard development to drive business insights and optimize player engagement.

  • Deployed percentile-based segmentation, pushed it to the database, and created Tableau visualizations.
  • Conducted ANOVA with Tukey's HSD post hoc test for comparative analysis of group differences.
  • Created statistical analysis to evaluate the impact of promotions on player activity.
  • Developed Shiny apps for promotion budget forecasting using time series analysis.
  • Conducted significance tests and deployed Shiny apps for A/B testing to compare control vs. test group performance.
  • Created and visualized player segments for specific products based on RFM scores to identify winning and losing players.
  • Built clusters of members based on behavior using data mining techniques and evaluated profitability.
  • Developed and deployed models to forecast future revenue for specific products for stakeholders.
  • Built models to predict potential VIP players based on behavioral data.
  • Compiled summary statistics using R Markdown to evaluate product and company performance.

Business Intelligence Officer Feb 2020 - Dec 2021
Phoenixfield Inc.

Leveraged data to inform and optimize business strategy and operations, with a focus on promotions and financial performance.

  • Analyze and evaluate promotions before a campaign begins and provide recommendations to optimize or minimize promotion costs and fraud.
  • Analyze and summarize the results of post-campaign promotions and provide insights into their performance.
  • Extract and summarize overall financials to give insights into the company's overall performance.
  • Provide reports on members' reinvestment value and minimize the issuance of excessive bonus amounts.
  • Extract and provide data for stakeholders' ad-hoc requests.

Technical Skills

Education

B.Sc. Applied Mathematics (Actuarial Mathematics)

Polytechnic University of the Philippines – Taguig Jun 2015 - May 2019

Research: Regression Model on Factors Affecting Inflation Rate in the Philippines

Certifications & Training