Risk Analytics | Applied Machine Learning | Fraud Modeling | Identity & Access Management (IAM) | Digital Identity Administrator
🎓 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
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
Ourlier 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
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/
🌐 What If Index – Predictive Scenario Analytics Predictive Analytics, Scenario Modeling, Decision Intelligence, Data Science
https://www.whatifindex.com
📊 Machine Learning for Stock Market Signals Machine Learning, Financial Data Analysis, Predictive Modeling, Market Signals
https://app.base44.com/apps/69a92720eab51730c9986a05/editor/preview
🔹 Programming & Analytics
Python (Pandas, NumPy, Scikit-Learn, Matplotlib)
R (Tidyverse, Caret, ggplot2)
SQL
Feature Engineering & Data Transformations
EDA & Model Evaluation
Statistical Modeling
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
🧠 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
https://www.linkedin.com/in/danielmr0909/
💼 Personal Portfolio with Other Projects https://moored-curtain-1a4.notion.site/Portfolio-DANIEL-MIRANDA-1d4f67b9be158020a13ad644e5902e62?pvs=74