Cristina P.

Data Scientist

https://talent.gravityer.com/cristina-p

BrestMember since June 29, 2026

Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks.
Extensive experience with signal processing techniques (UWB, adaptive filters, sound localization).
Practical application of deep learning (CNN for people counting) and NLP (BERTopic for topic labeling).
Experience with classical machine learning algorithms (SVM for traffic light classification).
Strong foundation in mathematical and algorithmic problem-solving as evidenced by various projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on research and proof-of-concept implementations. While demonstrating strong technical curiosity and initiative, there is no information regarding collaborative work, team environments, or experience in a professional organizational setting. This makes it difficult to assess cultural fit for a typical industry role.

Soft Skills & Operational Fit

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

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Projects

3D-Reconstruction-from-2D-Images

September 15, 2023 – September 15, 2023

3D-Reconstruction-from-2D-Images — GitHub repository

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Chromatic-Dispersion-Compensation-using-a-Custom-Convolution-Layer

August 21, 2023 – September 5, 2023

This projects presents a technique for Chromatic Dispersion compensation, based on an optimized filter.

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Traffic-Lights-Classification

July 12, 2023 – July 28, 2023

Traffic lights classification using Support Vector Machine, with Pedestrian Traffic Lights Dataset as training data.

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LMS_NLMS_adaptive_filters

June 29, 2023 – June 30, 2023

This repository represents the implementation of a Normalized Least Mean Squares (NLMS) and a Least Mean Squares (LMS) adaptive filters

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Tweets-Topic-Labelling

May 31, 2023 – September 5, 2023

This projects contains a nlp pipeline for topic labelling with BERTopic

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UWB_signal_processing

May 31, 2023 – June 30, 2023

This project presents different signal processing methods for signal filtering and cleaning, and channel estimation.

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Tweets_scrapping

February 1, 2023 – August 17, 2023

This repository presents a method for scrapping tweets

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Biological_Neural_Network

December 18, 2022 – August 22, 2023

Biological Neural Network based on Izhikevich Neuron Model

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Sound_source_localization

July 12, 2022 – June 30, 2023

This projects presents a couple of signal methods for detecting and localizing an acoustic signal source by using an Arduino Board and 4 microphones.

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People_counting_CNN_UWB

July 12, 2022 – August 17, 2023

This repository presents a method for people counting using a CNN trained with IR-UWB radar samples, in the COVID-19 and GDPR context. The purpose is the monitoring of the number of people inside a room, sending e-mail notifications every 10 minutes with the status of the room.

View Project

Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks.
Extensive experience with signal processing techniques (UWB, adaptive filters, sound localization).
Practical application of deep learning (CNN for people counting) and NLP (BERTopic for topic labeling).
Experience with classical machine learning algorithms (SVM for traffic light classification).
Strong foundation in mathematical and algorithmic problem-solving as evidenced by various projects.

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 provided.

Cristina P.

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit