Knowledge Base - Data Scientist & Quant Finance Specialist

My Knowledge Base

Curated Insights for Curious Minds

Welcome to my collection of go-to resources. It's a mix of what I use, teach, and love in data science, machine learning, and finance. Perfect for professionals and beginners looking to sharpen their skills… and hopefully to contribute!

Data Foundations

Data Science Fundamentals

Data Cleaning
Feature Engineering
Statistical Methods
Probability Distributions
Dimensionality Reduction
A/B Testing
Data Pipelines
Big Data Technologies
Cloud Computing
Ethics & Bias
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Applied Analytics

Data Analysis
Hypothesis Testing
Regression Models
Time Series Forecasting
Predictive Analytics
Prescriptive Analytics
Decision Trees
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Data Storytelling

Data Storytelling
Effective Dashboards
Chart Types
Best Practices
Interactive Visualizations
Power BI
Tableau
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Programming & AI

Coding in Python

Python Basics
Data Structures
Pandas & NumPy
Object-Oriented Programming
Web Scraping
Automation & Scripting
API Integrations
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Machine Learning

Supervised Learning
Unsupervised Learning
Feature Selection
Model Tuning
Ensemble Methods
Gradient Boosting
Explainable AI
AutoML
Bayesian Machine Learning
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Deep Learning

Neural Networks
Backpropagation
CNNs
RNNs
Transformers
Autoencoders
GANs
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Quantitative Finance

Portfolio Management

Strategic Asset Allocation
Monte Carlo Simulations
MinVar Portfolio
Risk Parity
Factor Investing
Portfolio Optimization
Tactical Asset Allocation
Hedging with Derivatives
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Quantitative Investing

Factor Models
Alpha Generation
Smart Beta Investing
Algorithmic Trading
Backtesting Strategies
Regime-Switching Models
Bayesian Methods
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Real Estate Analytics

Market Trends
Geospatial Analysis
Automated Valuation Models
Time Series Forecasting
Hedonic Regression Modeling
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