Daniel_Miranda_Portfolio

Daniel Miranda

Risk Analytics | Applied Machine Learning | Fraud Modeling | Identity & Access Management (IAM) | Digital Identity Administrator

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👨‍💻 About Me

• 🎓 Currently pursuing a PhD in Data Science
• 🎓 Master’s degree in Data Analytics
• 💼 Digital Identity Administrator
• 🏦 Experience in financial services & digital banking environments
• 🧠 Focused on authentication risk modeling, anomaly detection, and digital containment strategy
• 📊 Builder of structured, reproducible analytics systems

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AI Engineering, Data Analytics, and Data Science Projects

Project	Tech Stack	Repository
Data Analyst AI Agent	Python, LLM Agents, Pandas, Data Analysis	https://github.com/danielmir3329/Data-Analyst-AI-Agent
Corporate Bankruptcy Analysis	Python, Machine Learning, K-means, EDA	https://github.com/danielmir3329/Advanced-Fraud-Modeling
Fraud Detection Model (ML + Streamlit)	Python, Machine Learning, Streamlit, Scikit-learn, Data Visualization	https://github.com/danielmir3329/Fraud-Detection-/tree/main
Housing Price Prediction / Linear Regression	Python, Linear Regression, Pandas, Predictive Modeling	https://github.com/danielmir3329/Housing-Price-Prediction-Using-Linear-Regression/tree/main
Transforming a RAG Pipeline into an AI Agent	Python, RAG, LLM Agents, Vector Search, Retrieval Systems	https://github.com/danielmir3329/Transforming-a-RAG-pipeline-into-an-AI-Agent
Designing a Universal LLM Agent Loop with Tool Integration	Python, LLM Agents, Tool Calling, Multi-Provider AI Architecture	https://github.com/danielmir3329/Designing-a-Universal-LLM-Agent-Loop-with-Tool-Integration
Advanced Fraud Modeling	Python, Regression, Data Processing, Random Forest, K-means	https://github.com/danielmir3329/Intelligent-Transaction-Risk-Detection
ML Customer Segmentation using K-means	Python, K-means, Data Processing, Data Cleaning	https://github.com/danielmir3329/Customer-Segmentation-Using-ML-with-K-means
Outlier Detection Model	Python, K-means, Isolation Forest, One-Class SV, DBSCAN	https://github.com/danielmir3329/Outlier-Detection-Model/tree/main
Customer Shopping Behavior - Exploratory Data Analysis (EDA)	Python, EDA, Data Exploration, Data Visualization	https://github.com/danielmir3329/Customer-Shopping-Behavior-EDA
Netflix User Behavior EDA and Random Forest	Random Forest, EDA, Data Exploration, Data Visualization	https://github.com/danielmir3329/Netflix-User-Behavior-EDA-and-Random-Forest/tree/main
Evaluating Regression and Classifier Metrics (Iris Dataset)	Regression, Classifiers, Data Exploration, Estimators	https://github.com/danielmir3329/Evaluating-Regression-and-Classifier-Metrics-Iris-Dataset/tree/main
Abalone Dataset Multiple Linear Regression	Multiple Linear Regression, Data Exploration, scikit-learn	https://github.com/danielmir3329/Abalone-Dataset-Multiple-Linear-Regression
Abalone Dataset Ridge Regression (L2)	Ridge Regression, Data Exploration, scikit-learn	https://github.com/danielmir3329/Abalone-Dataset-Ridge-Regression
Abalone Dataset Lasso Regression (L1)	Lasso Regression, Data Exploration, scikit-learn	https://github.com/danielmir3329/Abalone-Dataset-Lasso-Regression
Abalone Dataset Polynomial Ridge Regression (L2)	Polynomial Regression, Non-Linear Regression	https://github.com/danielmir3329/Abalone-Dataset-Polynomial-Ridge-Regression-L2-
Abalone Dataset Generalized Additive Model	GAM, Data Exploration, Non-Linear Regression	https://github.com/danielmir3329/Generalized-Additive-Model-Abalone-Dataset

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📂 R Projects

| Project | Tech Stack | Repository | |——–|————|————| | Corporate Bankruptcy Analysis and Clustering Using R | R , EDA , K-means, Data Analysis | https://github.com/danielmir3329/Corporate-Bankruptcy-Analysis-and-Clustering-Using-R |

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AI Applications & Intelligent Platforms

| Project | Tech Stack | Live App | |——–|————|————| | 🌍 Smart City Companion – AI Daily Assistant | AI Agents, Location Intelligence, Real-Time Data APIs, Recommendation Systems | https://daily-city-assitant.lovable.app | | 🧠 Data Discovery Lab – Visual Insights Platform | Data Visualization, Interactive Analytics, AI Insights, Dashboard Design | https://discover-joyful-data.lovable.app/ | | 📊 AI EDA Assistant – AI Dashboard | Exploratory Data Analysis, AI-Assisted Analytics, Visualization, Data Profiling | https://auth-log-eda.lovable.app/ | —

🔬 Research

• Comprehensive EDA on U.S. Bankruptcy Risk Indicators Comprehensive EDA on U.S. Bankruptcy Risk Indicators .pdf

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🛠 Technical Skills

🔹 Programming & Analytics

• Python (Pandas, NumPy, Scikit-Learn, Matplotlib)
• R (Tidyverse, Caret, ggplot2)
• SQL
• Feature Engineering & Data Transformations
• EDA & Model Evaluation
• Statistical Modeling

🔹 Machine Learning

• K-Means Clustering
• Logistic Regression
• General Linear Models
• Neural Networks
• Train/Test Validation Strategy
• Data Leakage Prevention
• Confusion Matrix & Model Metrics
• Scaling & Winsorization

🔹 Identity & Digital Security

• ForgeRock Access Management
• Authentication Flow Architecture
• Risk-Based Authentication
• Risk-Based Authentication
• Cloudflare Log Analysis
• Identity Log Correlation
• Behavioral & Post-Authentication Analysis

🔹 Visualization & Reporting

• Power BI
• Tableau
• Looker Studio
• Streamlit
• Reproducible Python Reporting Workflows
• Executive KPI Dashboard Design

🔹 Automation & Optimization

• Automated Monthly Reporting Pipelines
• Digital Operations Dashboard Optimization
• Data Extraction Performance Improvements
• Alerting & Anomaly Monitoring Systems

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🧠 Research & Academic Focus

As a PhD candidate in Data Science, my interests include:

• Applied ML in security systems
• Authentication risk modeling
• Behavioral analytics in financial systems
• Model validation frameworks

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📬 Let’s Connect

https://www.linkedin.com/in/danielmr0909/

💼 Personal Portfolio with Other Projects

https://moored-curtain-1a4.notion.site/Portfolio-DANIEL-MIRANDA-1d4f67b9be158020a13ad644e5902e62?pvs=74