Alexandru Burlacu

Data Scientist

https://talent.gravityer.com/alexandru-burlacu

It all started as an experiment...

Chisinau, Republic of Moldova

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'error_analysis_code_samples' and 'hate-speech-detection-service'.
Experience with Python, a core language for Data Science.
Exposure to deep learning frameworks (Keras) as seen in 'keras_squeezenet'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of technologies (Go, Python, Elixir, JavaScript, Ruby, Dockerfile, Vue, HTML, CSS, SCSS, Jupyter Notebook, Shell). While this indicates a broad interest in technology, the projects are predominantly personal and lack detailed descriptions of collaboration or team-based work. The target role is 'Data Scientist', and while some projects align, the overall breadth suggests a generalist interest rather than a focused deep dive into data science specific challenges. The lack of professional experience or education makes it difficult to assess cultural fit beyond a general curiosity for technology.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Projects

alex-and-diana-wedding.github.io

December 25, 2023 – February 22, 2024

alex-and-diana-wedding.github.io — repository

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not-at-all-a-take-home-assignment

February 4, 2022 – February 4, 2022

It's not, I swear

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ServerlessCourseAutumn2021

October 14, 2021 – December 21, 2021

Code done for/during the course

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error_analysis_code_samples

July 11, 2021 – July 28, 2021

Code samples for the "Going beyond simple error analysis of ML systems" blog post

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hacky-serverless-platform

June 2, 2021 – June 2, 2021

I wanted to develop a small PoC serverless platform

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PTR

February 8, 2021 – June 2, 2021

PTR — repository

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tweeter-sentiment-analyzer

January 30, 2021 – May 16, 2021

tweeter-sentiment-analyzer — repository

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pycontracts

September 22, 2018 – December 2, 2018

A decorator-based Python contracts/defensive programming library with no dependencies

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hate-speech-detection-service

December 25, 2017 – December 25, 2017

A prototype that I developed in March 2017, meant for automatic content filtering. Requires some refactoring and tests.

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keras_squeezenet

October 6, 2016 – February 2, 2021

Keras implementation of Squeeze Net architecture described in arXiv : 1602.07360v3 (https://arxiv.org/pdf/1602.07360.pdf)

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'error_analysis_code_samples' and 'hate-speech-detection-service'.
Experience with Python, a core language for Data Science.
Exposure to deep learning frameworks (Keras) as seen in 'keras_squeezenet'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Alexandru Burlacu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit