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Magdalena ****** Data Scientist
Summary
Once I wanted to travel to discover the world. But I realised that everything had already been discovered. Then I decided to become a Data Scientist to discover what was left to discover. Certified, curious and business-oriented Data Science specialist with 6 years of experience working on projects in Finance, Trade, Environment, Travel and Infrastructure in small, medium and large product companies. 4 years of experience in Machine Learning. Founder of a local chapter of an industry organisation awarded TOP100 Women in AI Poland, TOP100 Women in Data Science Poland and Australia’s Global Talent award
SKills
Education
- 2018 Diploma in Data Science at Infoshare Academy
Experience
- 2023 - Present Data Scientist at Kablamo
-
– Designed, developed and deployed Artificial Intelligence &
Data Science solutions
– Analysed, transformed and enhanced unstructured data sets
(images, videos, satellite imagery)
– Wrote technical and non-technical articles about Data
Science and AI
– Tech stack: Python (Folium, Scikit-learn, Geopandas), AWS
Sagemaker, Computer Vision (Vision Transformers) - Oct 2021 - Dec 2022 Data Scientist at Infinitii AI
-
– Data Engineering & Algorithms-driven position in a small-
size B2B product company in the infrastructure field
– Applied statistical and algebraic techniques to explore,
build hypotheses and interpret key points from gathered
data
– Created and implemented new forecasting models
– Tested and validated models for accuracy of predictions in
outcomes of interest
– Tech stack: Python (Tensorflow, Scikit-learn), Github,
Kafka, Kubernetes, MLFlow - March 2021 - Sept 2021 Data Scientist at S&P Global
-
– Data Engineering-driven position in a large B2B product
company in the field of maritime trade
– ETL (Extract, Transform, Load) tasks, maintaining data
integrity and verifying pipeline stability
– Extracted and assessed data from databases to drive
improvement of product development and business strategies
and processes
– Tech stack: Python, GitLab, AWS, Spark - July 2019 - Feb 2021 Data Scientist at PredictX
-
– Data Engineering & Analytics-driven role in medium-size B2B
product company in the field of corporate travel | Travel
Data Analytics
– Utilised advanced querying, visualisation and analytics
tools to analyse and process complex data sets
– Discovered stories told by data to present information to
scientists and business managers
– Wrote technical and non-technical articles about Data
Science and AI
– Tech stack: Python (Scikit-learn, Dash), SQL, Bitbucket,
Airflow, HTML/CSS, Spark - Apr 2018 - July 2019 Junior Data Scientist at Nordea Bank
-
– Analytics-driven position in a large B2C product company in
the field of finance
– Utilised advanced querying, visualisation and analytics
tools to analyse and process complex data sets
– Discovered stories told by data to present information to
scientists and business managers
– Tech stack: R (Shiny, Caret), Python (Scikit-learn), SQL,
Bitbucket, PowerBI, HTML/CSS, Hive