GregB712

Data Scientist

https://talent.gravityer.com/gregb712

Data Scientist

Thessaloniki, GreeceMember since June 22, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects (e.g., GradeML, Probabilistic_Demand_Forecasting, LLM_Finance_Summaries, PLS_of_Clinical_Trials).
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various data-related concepts like spatial data indexing (R*-Tree) and web scraping.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team environment. The project diversity is good, but the alignment with a senior Data Scientist role is limited due to the absence of professional experience and large-scale system involvement.

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

pdf-to-markdown-ai-converter

February 3, 2026 – Present

pdf-to-markdown-ai-converter — GitHub repository

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Probabilistic_Demand_Forecasting

July 16, 2025 – July 16, 2025

This repository contains my solution to a demand forecasting challenge involving the prediction of daily probabilistic demand distributions for item-store combinations.

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LLM_Finance_Summaries

April 30, 2025 – May 5, 2025

LLM_Finance_Summaries — GitHub repository

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PLS_of_Clinical_Trials

April 15, 2025 – April 16, 2025

PLS_of_Clinical_Trials — GitHub repository

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WebScraping

May 31, 2023 – June 17, 2023

WebScraping — GitHub repository

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Multi-Agent-Auction-Bidding-System

January 22, 2021 – January 22, 2021

Implementation of an auction system, where different bots with different strategies can participate and compete with one another.

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Spatial-Data-Indexing

July 18, 2020 – October 12, 2020

Implementation of an R*-Tree, a tree data structure that can store multi-dimensional data in a more efficient way than the conventional R-Tree.

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Cryptography_2020

March 5, 2020 – June 10, 2020

Implementation of various Cryptographic algorithms from scratch.

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ActionHeroes

March 2, 2020 – January 11, 2023

An initiative to motivate people to participate in acts of volunteering in their cities.

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GradeML

August 26, 2019 – May 12, 2021

The Machine Learning part of the Grade++ Project

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects (e.g., GradeML, Probabilistic_Demand_Forecasting, LLM_Finance_Summaries, PLS_of_Clinical_Trials).
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various data-related concepts like spatial data indexing (R*-Tree) and web scraping.

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.

GregB712

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit