Refinaxa partners with organizations to transform complex data into clear, actionable intelligence. Specializing in machine learning, AI, and analytics that drive real decisions.
Refinaxa is a boutique analytics and AI consulting practice built on a simple belief: the value of data is not in its volume, but in what you can learn from it.
This is a freelance practice focused on building real-world experience across industries — from finance and real estate to supply chain, sports, and education. Each project brings the same rigor and clarity regardless of domain, spanning unsupervised and supervised machine learning and applied AI, with a focus on models that are not just accurate but interpretable and actionable.
Every engagement is grounded in a real business problem. The goal is always the same: deliver analysis that decision-makers can understand and use, not just results that look impressive in a notebook.
From exploratory analysis through production-ready models, Refinaxa helps organizations at every stage of their data journey.
Classification, regression, and time series models built for interpretability and real-world deployment. Business questions are translated into modeling problems with results that make sense to stakeholders.
Uncovering hidden structure in data through clustering, PCA, and association rule learning to segment customers, products, markets, and more into actionable groups.
Clear, audience-aware reporting that bridges technical analysis and business decision-making. Complex findings are translated into plain-language recommendations that drive action.
Autoencoders, LSTM forecasting, and neural network classifiers for problems where traditional methods fall short. Applied to demand forecasting, anomaly detection, and recommendation systems.
Clean, analysis-ready data is the foundation of every good model. Preprocessing pipelines, feature engineering, and structured data preparation tailored to the problem at hand.
AI systems that do not just answer questions but take action. Design and development of autonomous agents that reason across tools, APIs, and data sources to complete multi-step tasks with minimal human intervention.
Applied machine learning across real business problems. Each project is grounded in a domain challenge and built end to end.
A portfolio project clustering 8,887 properties by physical characteristics to identify distinct property types for price benchmarking, independent of location labels.
A portfolio project building an AI-powered query engine that translates plain English questions into executable SQL using GPT-3.5, applied to Amazon product and review data hosted in PostgreSQL.
A portfolio project clustering Fidelity and Vanguard funds by actual behavior rather than category label to surface actionable options for long-term and retirement investors.
A portfolio project clustering WNBA players by playing style, predicting game outcomes, and identifying potentially mispriced betting lines using neural network models.
A portfolio project using LSTM neural networks to predict demand patterns, optimal reorder points, and warehouse slot assignments from historical transaction data.
Python is the primary working language at Refinaxa, with additional experience in R and SQL. Every tool is chosen for the problem, not for novelty.
Interested in working together or have a project in mind? Refinaxa is currently available for freelance engagements. Reach out through any of the channels below.