Catalina Vajiac

Data Scientist

https://talent.gravityer.com/catalina-vajiac

typical code and coffee enthusiast.

Pittsburgh, Panama

Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Involvement in projects related to information-theoretic detection and modeling graphs, indicating a foundational understanding of data analysis and pattern recognition.
Experience with academic paper-related projects suggests an ability to work with research-oriented problems and potentially complex algorithms.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and academic projects, particularly in areas like human trafficking detection and graph modeling. This suggests a fit for roles that value deep analytical work, problem-solving, and potentially contributing to scientific publications. The diversity of technologies used across projects (Python, C++, Erlang, OCaml, Matlab) indicates adaptability and a willingness to explore different tools, which can be a positive cultural fit for dynamic environments. However, the projects are all personal, and there's no information on collaborative team environments or professional experience.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

TrafficVis

October 13, 2022 – October 13, 2022

Code for TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking

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InfoShield

June 5, 2020 – August 23, 2023

Code for paper "InfoShield: Generalizable Information-Theoretic Human-Trafficking Detection" (ICDE 2021)

View Project

type_inference

May 3, 2019 – May 9, 2019

Simply typed lambda calculus with type inference and let-polymorphism

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er-lang

February 23, 2019 – March 7, 2019

Hackers in the Bazaar project 2. A service emulating r/place.

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structural_form

January 29, 2019 – May 9, 2019

Python implementation of Kemp et al.'s paper "The discovery of structural form" http://www.charleskemp.com/code/formdiscovery.html. This is a work in progress.

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yldus

November 12, 2018 – December 18, 2018

yldus — GitHub repository

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CNRG

May 18, 2018 – July 6, 2023

Code release for the paper "Modeling Graphs with Vertex Replacement Grammars" by Sikdar et al.

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got_webservice

November 26, 2017 – December 7, 2017

Game of Thrones Webservice for paradigms final project

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Jukestapose

November 12, 2017 – May 9, 2019

Client-server application suite for playing and sharing music

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AMD-RIPS2017

June 15, 2017 – August 18, 2017

Repository for AMD project at RIPS 2017

View Project

Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Involvement in projects related to information-theoretic detection and modeling graphs, indicating a foundational understanding of data analysis and pattern recognition.
Experience with academic paper-related projects suggests an ability to work with research-oriented problems and potentially complex algorithms.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Catalina Vajiac

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit