Machine Learning & Artificial Intelligence
Regression
·
Classification
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Clustering
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Dimensionality Reduction
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Deep Learning
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Neural Networks
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Reinforcement Learning
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Genetic Algorithms
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Regression · Classification · Clustering · Dimensionality Reduction · Deep Learning · Neural Networks · Reinforcement Learning · Genetic Algorithms ·
AREAS OF
EXPERTISE
01
03
SUPERVISED ML
Demonstrable expertise in designing and optimizing Supervised Machine Learning Algorithms to solve complex problems efficiently, with expertise in Regression Models (Linear Regression, LASSO Regression, Regression Trees, Support Vector Regression), Ensemble Models (Random Forest, Gradient Boosting…) and Classification Models (Classification Trees, Support Vector Classification, K-nearest Neighbor).
DEEP LEARNING
NEURAL NETWORKS & DEEP LEARNING
I possess experience developing and tweaking a wide variety of Machine Learning algorithms, including regression, classification, clustering, dimensionality reduction, deep learning and heuristic models.
Although far from an expert, I have experience working with basic Deep Learning Algorithms like Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Multilayer Perceptrons (MLP), Gated Recurrent Networks (GRN) and Long Short-Term Memory Neural Networks (LSTM).
MACHINE LEARNING (UNSUPERVISED)
02
UNSUPERVISED ML
Experience working with unsupervised machine learning algorithms, such as Dimensionality Reduction Models (PCA, FA), and Clustering Algorithms (K-means clustering, Hierarchical Clustering, DBSCAN…).
REINFORCEMENT LEARNING
04
REINFORCEMENT LEARNING
Understanding of Reinforcement Learning methods, and experience working with model-based and model-free reinforcement algorithms.
MACHINE LEARNING (SUPERVISED)
05
OPTIMIZATION & HEURISTICS
AI OPTIMIZATION & (META)HEURISTICS
Experienced working with a wide variety of AI (Meta)Heuristic Models, including Single Solution Based Techniques like Local Search (LS), Simulated Annealing (SA) and Tabu Search (TS) Algorithms, Evolutionary Algorithms such as Genetic Algorithms (GA), and Swarm Based Algorithms like Particle Swarm Optimization (PSO) or Artificial Bee Colony Algorithms (ABC).
WIDE PORTFOLIO
OF PROJECTS
6
PROJECTS
+2k
HOURS OF WORK
+20k
LINES OF CODE
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MATH, PHYSICS & ENGINEERING PROJECTS
COMPUTER SCIENCE PROJECTS
QUANT FINANCE PROJECTS
Contact
If you are interested in hiring me for a Quantitative Trading/Research position or simply want to get in touch, don’t hesitate to drop me a message:
Álvaro Sánchez
Quantitative Researcher
Email:
alvarosf07@gmail.com