Eleni Markou

Data Scientist

https://talent.gravityer.com/eleni-markou

First of Her Name, Allergic to Warm Priors, Whisperer of Dead Gradients, Mother of Edge Cases, The One Who Ships on Fridays

Kargo

Key Strengths

Demonstrated experience with various data science techniques including CNNs, Markov Chains, text classification (mBERT), and churn modeling.
Proficiency in Python and R, key languages for data science.
Experience with optimization problems (VRP) and graph databases (Neo4j).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards data science and machine learning, aligning well with a Data Scientist role. The diversity of projects (audio, text, clickstream, optimization) indicates a broad interest in different data challenges. However, all listed projects are personal, and the single professional experience entry lacks details, making it difficult to fully assess collaborative work or industry-specific cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

devskim

April 29, 2026 – Present

A terminal feed reader for HN and Reddit, lobste.rs and Github Trending

View Project

multilingual-bert-text-classification

September 18, 2020 – April 19, 2021

text classification using mbert

View Project

Neo4j-Graph-Mining-California-road-Network

June 7, 2018 – June 7, 2018

Modelling and quering of California Road Network using Neo4j

View Project

Large-Scale-Optimization-Vehicle-Routing-Problem

June 7, 2018 – October 14, 2020

Java Constraint Solvers for Vehicle Routing Problem (VRP)

View Project

RNN_churn

September 7, 2017 – September 7, 2017

RNN_churn — repository

View Project

Audio-auto-tagging

September 2, 2017 – August 23, 2022

Convolutional Neural Network for auto-tagging of audio clips on MagnaTagATune dataset

View Project

Text-Similarity

June 14, 2017 – June 11, 2018

A text similarity computation using minhashing and Jaccard distance on reuters dataset

View Project

ClickstreamAnalysis

May 26, 2017 – June 8, 2018

Analyzing Clickstream Data using Markov Chains and data mining SPACE algorithm

View Project

NBD-Pareto-churn-model

May 3, 2017 – September 7, 2017

NBD-Pareto-churn-model — repository

View Project

EmailListChurnRate

March 25, 2017 – September 7, 2017

EmailListChurnRate — repository

View Project

Key Strengths

Demonstrated experience with various data science techniques including CNNs, Markov Chains, text classification (mBERT), and churn modeling.
Proficiency in Python and R, key languages for data science.
Experience with optimization problems (VRP) and graph databases (Neo4j).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

Eleni Markou

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit