👋 Hi, I'm Rocío — AWS-Certified Data Scientist helping companies save millions with ML + Cloud Analytics 🚀 Building @rocio.data | 📺 Launching AWS Mondays on YouTube | 🎧 Data Conversations Podcast 🌎 Argentina → Global | 💼 Open to Remote & Strategic Consulting | ☁️ AWS Solutions Architect Professional

I'm building rocio.data, where I share practical AWS + Data Science knowledge through real-world content and help professionals make successful career transitions.

My journey: Industrial Engineer → 6 years in traditional engineering → Complete career pivot to Data Science → Now helping others make the same successful transition.

What makes me different: I don't just teach theory. Every tutorial, template, and framework I share comes from production systems that have saved companies millions. My AWS data pipelines have processed billions of records, and my ML models have prevented millions in churn.

My mission: Make cloud analytics accessible to everyone, regardless of technical background.

What I'm building:

• 📺 YouTube: AWS Mondays series (launching soon - subscribe for early access!)
• 🎧 Podcast: Data Conversations - weekly deep dives into real data science
• 💼 LinkedIn: Daily insights through my newsletters "Data: a game changer" & "Pulso pyme"
• 🎓 Community: Growing network of data professionals learning together

Cloud & MLOps (Primary Focus)

• AWS: SageMaker, EMR, S3, Lambda, Glue, Redshift, QuickSight, Step Functions
• MLOps: Docker, CI/CD, Model Deployment, Monitoring, A/B Testing
• Certifications: AWS Solutions Architect Professional, AWS ML Specialty

Data Science & ML

• Languages: Python, SQL, PySpark
• ML Libraries: scikit-learn, TensorFlow, PyTorch, XGBoost, BERT
• Specialties: Time Series Forecasting, NLP, Computer Vision, Statistical Analysis

Data Engineering

• Pipeline Tools: Apache Spark, Airflow, dbt, AWS Glue
• Databases: PostgreSQL, Redshift, DynamoDB, S3 Data Lakes
• Monitoring: CloudWatch, Elasticsearch, Kibana, DataDog

✅ Build scalable AWS data pipelines that handle millions of records
✅ Deploy ML models to production with real-time inference capabilities
✅ Automate manual processes saving hundreds of hours monthly
✅ Design data architectures for startups to enterprise scale
✅ Optimize cloud costs typically reducing bills by 30-50%
✅ Train technical teams on modern data engineering practices

💰 Business Impact: $2M annual savings | 🔧 Production System

The Challenge: Telecommunications company losing 15% of customers monthly
My Solution: End-to-end ML pipeline with real-time prediction API
Key Results:

• 🎯 92% prediction accuracy
• 📈 24% churn reduction achieved
• ⚡ Real-time inference <200ms response time

Tech Stack: AWS SageMaker, XGBoost, Lambda, API Gateway, CloudWatch
🔗 https://github.com/tuni56/customer-churn-prediction

💰 Business Impact: 70% faster processing | ⚙️ Enterprise Scale

The Challenge: Inefficient processing of large-scale transaction data
My Solution: Scalable ETL pipeline with automated data quality checks
Key Results:

• ⚡ 70% reduction in processing time
• 📊 Real-time analytics capabilities enabled
• 🔧 Zero-maintenance automated pipeline

Tech Stack: AWS S3, Glue, Redshift, Apache Spark, Lambda
🔗 https://github.com/tuni56/datalake-analytics-pipeline

💰 Business Impact: 50% faster decisions | 📈 Real-time Insights

The Challenge: No real-time visibility into sales performance
My Solution: Interactive dashboard with drill-down capabilities and automated refresh
Key Results:

• 🚀 50% improvement in decision-making speed
• 📈 Increased sales team efficiency
• 🔄 Automated daily data refresh

Tech Stack: Amazon QuickSight, Athena, S3, Python, Pandas
🔗 https://github.com/tuni56/sales-analytics-dashboard

💰 Business Impact: 30% inventory cost reduction | 🤖 ML in Production

The Challenge: Suboptimal inventory levels causing stockouts and excess
My Solution: Prophet forecasting with automated retraining and real-time predictions
Key Results:

• 💰 30% reduction in inventory costs
• 🎯 40% improvement in forecast accuracy
• 🤖 Fully automated prediction pipeline

Tech Stack: Python, Prophet, AWS Lambda, DynamoDB, CloudWatch
🔗 https://github.com/tuni56/demand-forecasting-system

💰 Business Impact: 60% faster incident resolution | ⚡ Real-time Processing

The Challenge: Difficulty analyzing massive log datasets for operational insights
My Solution: Real-time log processing with advanced search and alerting
Key Results:

• ⚡ 60% reduction in Mean Time to Recovery (MTTR)
• 🚨 Proactive issue detection and alerting
• 📊 Comprehensive operational dashboards

Tech Stack: AWS EMR, Apache Spark, Elasticsearch, Kibana, S3
🔗 GitHub Repo

💰 Business Impact: 80% faster deployments | 🚀 End-to-end Automation

The Challenge: Manual and error-prone ML deployment processes
My Solution: End-to-end automated ML pipeline with continuous training and deployment
Key Results:

• ⚡ 80% reduction in model deployment time
• 📈 15% improvement in model accuracy
• 🔄 Continuous integration and deployment for ML models

Tech Stack: AWS SageMaker, Step Functions, CodePipeline, Docker, BERT
🔗 GitHub Repo | 🌐 Live Demo

🎥 YouTube (Coming Soon):

• 📺 AWS Mondays Channel - Subscribe for launch notification!
• 🎬 Upcoming: AWS Data Pipeline in 20 Minutes
• 🎬 Upcoming: ML Model to Production: Complete Guide
• 🎬 Upcoming: Why 80% of Data Science Projects Fail

📰 LinkedIn Newsletters:

• 📊 Data: a game changer - Weekly insights on data science trends
• 🏢 Pulso pyme - Business analytics for SMEs

🎧 Podcast:

• 🎙️ Data Conversations - Deep dives into real data science challenges (launching soon)

💡 Free Resources (Coming Soon):

• 🆓 Data Science Career Roadmap 2024
• 📊 AWS Cost Optimization Calculator
• 💰 Salary Negotiation Scripts for Data Roles
• 🔧 Production-Ready Code Templates

Content Strategy:

• 📺 YouTube: Weekly AWS tutorials focusing on practical, production-ready solutions
• 🎧 Podcast: In-depth conversations about real data science challenges and solutions
• 💼 LinkedIn: Daily insights through two specialized newsletters
• 📧 Community: Building a network of data professionals learning together

Open Source Projects:

• 🔧 Creating production-ready templates for common data engineering tasks
• 📚 Documenting real-world ML project lifecycles
• 🎓 Developing career resources for aspiring data scientists

For Learning & Community:

• 📺 Subscribe to my YouTube channel - Get notified when I launch!
• 💼 Follow me on LinkedIn - Daily insights and career tips
• 📰 Subscribe to my newsletters: "Data: a game changer" & "Pulso pyme"
• 🔗 All resources - Templates, guides & more (launching soon)

For Business & Consulting:

• 📧 Email: rociomnbaigorria@gmail.com
• 📅 Strategy Call: Book 30-min consultation
• 💼 Consulting: Data strategy, AWS architecture, ML implementation
• 🕒 Timezone: GMT-3 (Argentina) | Available for global remote work

✅ Strategic Data Consulting - AWS architecture, ML strategy, team training
✅ Freelance Projects - End-to-end data solutions, pipeline development
✅ Content Collaborations - Technical writing, guest appearances
✅ Mentorship - Helping professionals transition into data science careers

"Making cloud analytics accessible to everyone, one project at a time" 🚀

#DataScience #AWSCloud #MachineLearning #MLOps #DataEngineering #Python #CloudFirst #WomenInTech #ContentCreator #CareerChange