Freelancer profile translated to English.
Back to original languageAbout Jorge
From Raw Data to Profitable Decisions: Your Strategic Partner in Business Intelligence
Your data is your most valuable asset, but only if it translates into profitability. Otherwise, it's just a storage cost. My sole purpose is to be the bridge between the hidden potential in your information and the measurable results your business needs.
Instead of hiring three distinct profiles (a Data Engineer, a Data Scientist, and a BI Analyst), I offer you a full-cycle solution. My proven methodology transforms chaos into clarity through a three-phase process:
1. Data Architecture and Governance (The Solid Foundation) Every great insight is born from reliable data. First, I design and build robust, automated data pipelines (ETL) that clean, validate, and structure your information. This ensures that every decision you make is based on absolute truth, not estimates.
2. Predictive Modeling and Business Intelligence (The Insight Engine) This is where data becomes answers. I use advanced Machine Learning techniques (Python, Scikit-learn) and statistical analysis to go beyond "what happened?" and answer "why did it happen?" and, more importantly, "what will happen next?". Whether it's predicting customer churn, optimizing inventory, or identifying cross-selling opportunities, this is the core of intelligence.
3. Strategic Visualization and Storytelling (The Decision Tool) I don't deliver charts; I deliver clarity. I design and build interactive dashboards (Power BI, Tableau) that tell the story of your business.
My approach is based on a simple truth: business results trump academic credentials. My portfolio is not a collection of theoretical exercises; they are battle-tested business solutions that have solved real problems and generated measurable value.
Let's talk about your data strategy.
Spanish
Native or bilingual
English
Basic
Remote only
Primarily works remotely
Experience
- FreelanceBusiness Intelligence Toolkit for Sales and Profitability OptimizationE-COMMERCEJanuary 2025 - February 2025 (1 month)ProblemSuperstore, a growing retailer, accumulated thousands of sales records without a centralized view. Decisions about promotions, regional expansion, and customer focus were made with isolated spreadsheets and intuition, leading to missed opportunities and margin erosion.Solution (architecture)A Strategic Command Center was implemented in Power BI: an executive navigation analytical layer, from the global view to action.Executive Summary (30,000 feet)Initial screen with critical KPIs (Sales, Profit, Margin %) to diagnose business health in under 10 seconds.Product AnalysisQuadrants differentiating "stars" (high volume and profitability) from "dogs" (high volume, low margin), highlighting cases like Tables for immediate intervention.Customer IntelligenceSegmentation showing: the Consumer segment contributes volume; the Corporate segment, higher profitability per order. Basis for adjusting pricing, discounts, and retention.GeographyInteractive map crossing sales and margin to detect markets with high potential and low penetration, guiding expansion.Strategic PlaybookFinal layer with actionable conclusions: inventory optimization, discount rules, and geographic prioritization, ready for execution.Result (impact)• Eliminates guesswork: a single source of truth with updated data for executive decisions.• Seals margin leaks: identifies deficit subcategories and enables renegotiation and repricing, increasing total margin by 2–3 pp.• Focuses sales and marketing: prioritizes segments and regions with higher ROI, improving investment efficiency by up to 20%.Stack and processETL from internal sources, semantic modeling in Power BI, analysis with Python and data science techniques for consistent and traceable end-to-end metrics.
- FreelancerData Architecture for Geospatial Market IntelligencePRIVATE EQUITYNovember 2024 - January 2025 (2 months)Florida City, United StatesDeciding where to open a new branch is a costly gamble. Relying on intuition or incomplete data can lead to multi-million dollar losses. The challenge: unify disparate external sources (demographics, competition, and points of interest) and build a model that scientifically classifies the success potential of each location.Solution (Architecture)Multi-source ingestion (ETL): Connectors to APIs and public sources: Yelp (competition), Google Maps (POI and traffic), and US Census (demographics).Cloud infrastructure: Centralization in Microsoft Azure and Databricks with Delta Lake as the "single source of truth," ensuring consistency and quality.Processing and ML: Using Python, Databricks SQL, and machine learning libraries, a model was trained that, based on patterns of successful locations, generates a Potential Score for new addresses.Delivery and deployment: Executive dashboard in Power BI and web app in Streamlit (GitHub) for real-time predictive analysis.Result (Business Impact)Lower investment risk: Quantitative and objective evaluation of each zone's potential.More agile decisions: Market analysis that goes from months to days.Reusable data asset: Serves to explore new markets and optimize the current network.ConclusionThe solution transforms a high-risk decision into a strategic, measurable, and repeatable process, enhancing accuracy, accelerating execution, and reducing potential losses in business expansion.
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Education
- Henry2025