About Ricardo Carrión Sosa

I am a specialist in data, advanced analytics, and AI-driven solutions. I have worked with companies across Latin America, the U.S., and Spain, designing platforms that transform data into high-impact decisions. My approach blends deep technical expertise with a strategic business mindset.

I hold a degree in Economics from Universidad San Francisco de Quito (Magna Cum Laude), international studies at the University of North Carolina and ESADE–Spain, and advanced training in Machine Learning, Python, and Data Science.

Professional in Data, Analytics, and Technology

Throughout my career, I’ve supported organizations in industries such as beverages, retail, banking, healthcare, insurance, and construction. My work focuses on building scalable solutions — from predictive models and intelligent chatbots to cloud architectures and executive dashboards.

My goal is simple: turn data into a real competitive advantage, ensuring technology aligns with each company’s strategic goals.

Companies I’ve Worked With

Throughout my career as a consultant and data specialist, I’ve collaborated with a wide range of organizations across Latin America. This includes projects delivered for:

  • Multinational beverage producers

  • Major retail chains and e-commerce groups

  • International banks and financial institutions

  • Healthcare and insurance companies

  • Construction and industrial firms

  • Technology and consulting companies


Areas of Specialization

Predictive Analytics & Machine Learning

  • Supervised and unsupervised ML

  • Recommendation systems

  • Fraud detection

  • Customer segmentation

  • Forecasting (sales, demand, resources)

  • Model validation and explainability

Data Engineering & Cloud Solutions

  • ETL/ELT pipelines

  • AWS, Azure Databricks, Lambda

  • Database optimization and query tuning

  • Integration of large-scale datasets

Business Intelligence

  • Executive dashboards in Power BI

  • KPI frameworks

  • Automated reporting

  • Data governance and quality

Natural Language Processing

  • Chatbots for banking and insurance

  • Document classification

  • OCR-based automation

  • Sentiment analysis and entity extraction

Featured Project Portfolio

1. Predictive Analytics Platform – Beverage Industry (2022)

Built a forecasting and analytics platform for one of the largest beverage companies globally.
Impact: improved demand visibility and supply-chain efficiency across thousands of retailers.

Tech: Python, Matplotlib, AWS-Lambda, MongoDB
Analytics: Descriptive + Predictive (supervised)

2. Recommendation Engine – Retail (2021–2022)

Developed affinity and filtering algorithms to optimize product suggestions across e-commerce channels.
Impact: increased cross-selling and catalog personalization.

Tech: Python, Databricks
Analytics: Predictive (unsupervised)

3. Fraud Detection Model – Retail (2022)

Classification model to flag suspicious transactions with full explainability for internal auditors.
Tech: Python, PySpark
Analytics: Predictive (unsupervised)

4. Commercial Optimization (Retainer) – Retail (2022)

Built models to prioritize sales agents and analyze performance across regions.
Tech: Python, Databricks
Analytics: Hybrid (supervised + unsupervised)

5. Intelligent Chatbot – Banking (2021–2022)

Implemented an NLP chatbot for automated customer service, transactional queries, and internal operations.
Tech: Dialogflow, Google Cloud

6. Document Classification – Insurance (2021)

OCR and NLP solution to extract information from scanned documents and automate approval workflows.
Tech: Computer Vision, Python
Analytics: Predictive + NLP

7. Customer Segmentation – Food Industry (2022)

RFM model and clustering to identify customer archetypes across four countries.

8. Analytical Insight Portal – Construction (2020)

Built an insights portal integrating 5+ years of operational data.
Tech: Python, SQL, Matplotlib

9. Geospatial Expansion Tool – Consulting (2019)

Interactive mapping tool combining demographics, competition, and store performance.
Tech: R (Shiny)

10. Document Classification – International Bank (2019)

ML solution to organize large volumes of legal and contractual documentation.

Key Technical Skills

  • Languages: Python, SQL, R

  • Cloud: AWS, Azure, GCP

  • Visualization: Power BI, Google Data Studio, Matplotlib

  • Databases: MongoDB, PostgreSQL, SQL Server, Snowflake, Bigquery

  • NLP & AI: Dialogflow, OCR, LLMs, classification models

  • DevOps: Docker, Git, APIs

Why Work With Me

  • End-to-end expertise: from engineering to modeling to executive storytelling.

  • Real industry experience: proven results across multiple sectors.

  • Impact-driven: always tied to ROI, efficiency, and business goals.

  • Clear communication: complex insights delivered in business language.

  • International perspective: academic and professional experience across LATAM, the U.S., and Europe.

FAQ

Which industries do you specialize in?
Beverages, retail, banking, insurance, healthcare, construction, and e-commerce.

Do you deliver full end-to-end solutions?
Yes — APIs, data pipelines, ML models, cloud architectures, dashboards, and business presentations.

Can you work with existing cloud infrastructure?
Absolutely. I work with AWS, Azure, Google Cloud, and hybrid systems.