Washington Garcia

Data Scientist

https://talent.gravityer.com/washington-garcia

University of Dayton Research Institute

Key Strengths

Extensive experience in machine learning and deep learning, particularly in areas like Handwritten Text Recognition (HTR), video description, and adversarial examples.
Strong proficiency in Python, a core language for Data Science.
Demonstrated ability to apply advanced ML techniques (e.g., CTC Optimization, MTLE, RNNs) to complex problems.
Experience with Jupyter Notebooks for data exploration and model development.
Current role as a Data Scientist at a research institute aligns well with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong focus on research-oriented machine learning and deep learning applications, which suggests a fit for roles requiring innovation and problem-solving in data science. The diversity of projects, from HTR to video captioning and bug clustering, indicates a broad interest within the ML domain. However, the lack of team-based projects or contributions to larger systems makes it difficult to fully assess collaborative cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

hard_label_manifolds

February 2, 2023 – February 2, 2023

Less is More: Dimension Reduction Finds On-manifold Adversarial Examples in Hard-Label Attacks

View Project

disentangling_categorization

May 2, 2022 – May 18, 2022

Disentangling Categorization in Multi-agent Emergent Communication

View Project

htr_adversarial_examples

October 29, 2018 – October 29, 2018

Adversarial Examples for Handwritten Text Recognition (HTR) based on CTC Optimization

View Project

VideoCaptioningAttack

October 17, 2018 – March 13, 2020

VideoCaptioningAttack — GitHub repository

View Project

melody_rnn.pytorch

August 3, 2018 – August 22, 2018

Implementation of Magenta Melody RNN in PyTorch

View Project

nephi

January 29, 2018 – February 5, 2020

Offline Handwritten Text Recognition

View Project

VideoToTextDNN

November 10, 2017 – July 12, 2019

MTLE method, winner of the Large Scale Movie Description Challenge (LSMDC) 2017 - Video Description Task.

View Project

cpu_scheduling_sim

October 11, 2016 – November 4, 2016

cpu_scheduling_sim — GitHub repository

View Project

Unity_PSO

September 2, 2016 – September 2, 2016

Particle Swarm Optimization in Unity. Repo is laid out as a Unity Project.

View Project

BugClustering

June 20, 2016 – September 21, 2016

Code for the system described in "A First Look at Bugs in OpenStack", which automatically classifies open-source bug reports based on text semantics.

View Project

Key Strengths

Extensive experience in machine learning and deep learning, particularly in areas like Handwritten Text Recognition (HTR), video description, and adversarial examples.
Strong proficiency in Python, a core language for Data Science.
Demonstrated ability to apply advanced ML techniques (e.g., CTC Optimization, MTLE, RNNs) to complex problems.
Experience with Jupyter Notebooks for data exploration and model development.
Current role as a Data Scientist at a research institute aligns well with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Washington Garcia

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit