Carlos R.

Hi, I’m Carlos --> Founder of Re:klaim- More Life, Less Email Im a results-driven Data Scientist and Machine Learning Engineer with an MIT ADSP Certification. I specialize in translating complex data problems into actionable business insights and scalable AI solutions. Key Strengths & Expertise - Machine Learning & Predictive Analytics: Expertise across ensemble modeling, alpha discovery, NLP, and real-time applications. - Data Visualization & Reporting: Skilled at building interactive dashboards (Tableau, R Shiny) and visually compelling reports that drive decision-making. - Scalable Solutions: Proficient in MLOps (model deployment, monitoring, and optimization) to ensure your solution remains robust under production conditions. - Client-Centered Approach: I tailor solutions to each client’s needs, working iteratively with feedback to maximize impact. Notable Achievements: Alpha Discovery & Risk Analysis - Developed high-risk, high-reward trading strategies using advanced ensemble techniques for financial markets (RiskMiner). - Achieved improved predictive accuracy and actionable insights for traders. Dropout Prediction Model - Built a school dropout prediction tool that provided district administrators with actionable insights to reduce dropout rates. - Delivered user-friendly dashboards and detailed reporting for long-term impact. Climate Analysis & Dashboards - Created R Shiny apps and Tableau dashboards for climate data and working capital optimization. Transformed raw data into interactive, visually stunning tools for stakeholders. Work Process - Discovery & Planning: In-depth requirement gathering, data exploration, and solution design. - Implementation & Iteration: Iterative model development, feedback loops, and refinements to ensure alignment with your business goals. - Deployment & Knowledge Transfer: Production-ready models, clear documentation, and (if requested) training sessions so you can confidently use and maintain your new solution. Why Work With Me? - Clear Communication: Regular updates, straightforward timelines, and transparent milestones. - Commitment to Excellence: Meticulous EDA, clean code, and result-driven solutions that don’t just work but excel. - Future-Focused: Always open to ongoing support, enhancements, and collaboration for long-term growth. High-Performance Environment: My local development setup includes an Apple MacBook Pro (M4 Max, 128 GB RAM, 40-core GPU, 16-core Neural Engine, 2 TB SSD). This powerhouse environment enables rapid model training, parallel processing, and seamless handling of large-scale datasets—without relying exclusively on external cloud infrastructure. That means faster iterations, quicker insights, and lower operational overhead for your project. Ready to turn your data into a competitive edge? Let’s connect to discuss your project needs and how we can build an impactful and valuable solution together.