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💻 Software Engineer @kraken-tech | 📊 ex-Data Scientist
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Kraken Tech
Data Scientist
June 30, 2026 – Present
clean-code-workshop
January 8, 2025 – January 14, 2025
clean-code-workshop — GitHub repository
View Projectcrypto-bot
April 27, 2023 – July 1, 2023
Machine Learning experiment to predict crypto prices for intervals between 1 to 30 minutes.
View Projectfiller-sound-detector
October 9, 2022 – April 23, 2023
This project aims at detecting annoying filler sounds in an audio with help of ML.
View Projectheart-failure
September 7, 2022 – October 14, 2022
Predicting whether a patient will suffer from heart failure.
View Projectds-mentorship
June 28, 2022 – August 21, 2022
Exercises done during the DS mentorship program in Glovo
View Projectnlp-sentiment-analysis
May 3, 2021 – May 3, 2021
NLP sentiment analysis on Twitter data with Logistic Regression and BERT transformer.
View Projectsemantic-segmentation-satellite-imagery
December 17, 2020 – December 17, 2020
This repository is a complete walkthrough to download the "landcovernet" dataset that contains label masks for Sentinel 2 images from Africa. It includes the data download, preprocessing and the model training with PyTorch and fastai.
View Projectnyc-taxi-data
November 21, 2020 – November 24, 2020
Case study: A new ride sharing company X is looking to start up a rival service to Uber or Lyft in NYC. They are interested in using the Taxi Data to get insight into the transportation sector in New York. I need to get to know the data and, additionally, build a predictive model to suggest tip amount for customers.
View ProjectCultural Fit Analysis
The candidate's projects are all personal, which shows initiative but provides limited insight into collaborative work or alignment with specific company cultures. The experience level is listed as 0, which contradicts the current Data Scientist role, making it difficult to accurately assess cultural fit based on professional experience. The projects are diverse within the data science domain, which could indicate adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no actionable insights.