Tolga Sümer

Data Scientist

https://talent.gravityer.com/tolga-sumer

Koç University | University of Bologna

BolognaMember since June 28, 2026

Key Strengths

Demonstrated interest in Data Science through projects like 'Customer-Sentiment-Product-Review', 'f1-pipeline', 'digit-recognizer', 'face-recognition', and 'toxic_comment_classification'.
Experience with Python for data-related tasks.
Exposure to Jupyter Notebook for data analysis and machine learning model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a breadth of interests, including web development (HTML, CSS, JavaScript) and data science/machine learning. This diversity suggests an adaptable individual. The focus on personal projects indicates self-motivation. However, without team-based project descriptions or work experience, assessing collaboration and cultural alignment with a professional team is challenging.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ikikaya

September 15, 2025 – Present

ikikaya — GitHub repository

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pelinsukaya.github.io

May 11, 2025 – September 15, 2025

pelinsukaya.github.io — GitHub repository

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digit-recognizer

June 17, 2024 – June 20, 2024

digit-recognizer — GitHub repository

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f1-pipeline

April 18, 2024 – May 28, 2024

Data Infrastructure for Formula 1 analytics

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face-recognition

April 10, 2024 – April 10, 2024

face-recognition — GitHub repository

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Customer-Sentiment-Product-Review

April 9, 2024 – April 10, 2024

Customer Sentiment/ Rating Scores In Product Reviews: Their Impact On Business Outcomes

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Personal-Assistant

March 25, 2024 – March 25, 2024

Personal-Assistant — GitHub repository

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toxic_comment_classification

March 25, 2024 – March 25, 2024

Toxic Comment Classification with Naive Bayes and DistilBERT

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Tolgino

February 15, 2024 – February 15, 2024

My personal repository.

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cryptocurrency-manipulation-detection

March 3, 2021 – July 12, 2021

KU COMP491 Project

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'Customer-Sentiment-Product-Review', 'f1-pipeline', 'digit-recognizer', 'face-recognition', and 'toxic_comment_classification'.
Experience with Python for data-related tasks.
Exposure to Jupyter Notebook for data analysis and machine learning model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Tolga Sümer

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit