Quant OS | Quantitative Finance Knowledge Graph

Author

Tharun Gajula

Concept Phase

01 — Profile

Tharun Kumar Gajula

02 — Foundations

Quant Modeling Workflow Master Reference — End-to-End Data, Models, Validation, Monitoring, and Governance Regression Analysis Masterclass — From Linear Regression to Logistic Regression and Statistical Testing Machine Learning Masterclass — From First Principles to Trees, Ensembles, Clustering, and Model Validation Python for Data Analytics Master Cheat Sheet — Core Python, Pandas, Visualization, and Git Regulatory Foundations Masterclass — Basel, IFRS 9, CECL, BCBS 239, ICAAP, SR 11-7, and AML Basics

03 — Portfolio Projects

CartPole Reinforcement Learning Masterclass — REINFORCE, Custom Rewards, PPO, DQN, Actor-Critic, SAC, and Twin-Q Antidiabetic Drug Prescription Forecasting — Time-Series Modeling with STL Decomposition, Stationarity Testing, SARIMA, Rolling Forecasts, and MAPE NIFTY 100 Portfolio Optimization — Modern Portfolio Theory, Log Returns, Sharpe Ratio, Monte Carlo Weights, and Efficient Frontier Lending Club Credit Risk Masterclass — PD, LGD, EAD, Expected Loss, and Monitoring Bank Churn Prediction with Neural Networks — Classification, Imbalance, and Retention Modeling Employee Retention & Performance Analytics — Attrition Modeling with Logistic Regression, Decision Trees, and Random Forests Socio-Economic Household Classification — Rural vs Urban Modeling with Logistic Regression, Trees, XGBoost, PCA, and Ensembles Twitter Sentiment Analysis with NLP — Text Cleaning, Vectorization, and Multi-Class Classification

Author

Tharun Gajula

Concept Phase

01 — Profile

Tharun Kumar Gajula

02 — Foundations

Quant Modeling Workflow Master Reference — End-to-End Data, Models, Validation, Monitoring, and Governance Regression Analysis Masterclass — From Linear Regression to Logistic Regression and Statistical Testing Machine Learning Masterclass — From First Principles to Trees, Ensembles, Clustering, and Model Validation Python for Data Analytics Master Cheat Sheet — Core Python, Pandas, Visualization, and Git Regulatory Foundations Masterclass — Basel, IFRS 9, CECL, BCBS 239, ICAAP, SR 11-7, and AML Basics

03 — Portfolio Projects

CartPole Reinforcement Learning Masterclass — REINFORCE, Custom Rewards, PPO, DQN, Actor-Critic, SAC, and Twin-Q Antidiabetic Drug Prescription Forecasting — Time-Series Modeling with STL Decomposition, Stationarity Testing, SARIMA, Rolling Forecasts, and MAPE NIFTY 100 Portfolio Optimization — Modern Portfolio Theory, Log Returns, Sharpe Ratio, Monte Carlo Weights, and Efficient Frontier Lending Club Credit Risk Masterclass — PD, LGD, EAD, Expected Loss, and Monitoring Bank Churn Prediction with Neural Networks — Classification, Imbalance, and Retention Modeling Employee Retention & Performance Analytics — Attrition Modeling with Logistic Regression, Decision Trees, and Random Forests Socio-Economic Household Classification — Rural vs Urban Modeling with Logistic Regression, Trees, XGBoost, PCA, and Ensembles Twitter Sentiment Analysis with NLP — Text Cleaning, Vectorization, and Multi-Class Classification

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