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Location

Poland

Rate

$21  / per hour

Years of experience

7+

About

Currently, I am working as a Data Scientist in the Financial Crime Threat Mitigation department at Mthree for HSBC in Poland since July 2020. My primary responsibilities include working on a fraud detection classification project and leading the transition from old to new data source systems, which involved modifying all existing pipeline and modeling scripts. I am skilled in applying new logic for running dbt pipelines in Python and SQL to generate high-quality data and create champion models in BigQuery. Additionally, I write testing scripts in Python to compare output versions, handle confidential data with risk control measures, and work within an agile methodology. The technologies I use include Python (with libraries such as pandas, sklearn, numpy, matplotlib, sns), JupyterLab, SQL, GCP (Google Cloud Platform), BigQuery, Github, and JIRA. Previously, I worked as a Data Scientist in the Advanced Analytics team at Cisco Poland from July 2019 to July 2020. During this time, I developed regression and classification models using supervised machine learning algorithms and analyzed both structured and unstructured data from various sources such as SQL, Snowflake, and Hana. I also gathered project requirements through stakeholder meetings. Before Cisco, I was a Data Analyst in the Evidence Lab department at UBS Business Solutions Poland from January 2017 to June 2019, where I transformed and analyzed large datasets into client-friendly Excel models, automated data management processes using Python, and conducted industry research using market research methodologies. My educational background includes a Bachelor's degree in Information Technology and Econometrics from AGH University of Science and Technology in Cracow, Poland, which I completed in September 2017.

Tech Stack

Pandas, Git, Jira, Jupyter, Numpy, Python, SQL

Experience

  • Automated data management processes by developing scripts in Python using pandas.
  • Led a transition from old data source to new data source system, including modification of all existing parts of pipeline and modeling scripts.
  • Developed regression and classification models using supervised machine learning algorithms.
  • Transformed and analyzed large datasets into client-friendly Excel models.
  • Applied new logic for running dbt pipeline in Python and SQL to automatically generate high-quality data and create champion models in BigQuery.
  • Conducted research on different industries using market research methodology.
  • Handled confidential data with risk control measures while managing datasets.

Employment history

Data Scientist, Mthree (working for HSBC) July 2020 - Present
  • Working on fraud detection classification project.
  • Led a transition from old data source to new data source system including modification of all existing parts of pipeline and modeling scripts.
  • Applying new logic for running dbt pipeline in Python and SQL to automatically generate high-quality data and create champion model into BigQuery.
  • Writing testing scripts in Python to compare differences between different output versions.
  • Working with confidential data, applying risk control while handling datasets.
  • Working in agile methodology.
Data Scientist, CISCO July 2019 - July 2020
  • Developing regression and classification models using supervised machine learning algorithms.
  • Joining and analyzing both structured and unstructured data from different sources (SQL, Snowflake, Hana).
  • Working with different data – including products, customers, financial, security, and personal data.
  • Meeting with stakeholders to gather the requirements for projects.
Data Analyst, UBS Business Solutions Poland January 2017 - June 2019
  • Transforming and analyzing huge datasets into client-friendly Excel models.
  • Working with all kinds of data – starting with geospatial data up to alternative data.
  • Wrangling, cleansing, and then analyzing raw data in terms of business usability.
  • Taking part in improving ETL methodology.
  • Automating data management processes by developing scripts in Python (pandas).
  • Enforced naming standards and data dictionary for data models.
  • Conducting research on different industries using market research methodology.
  • Data mining for urgent projects by myself using Python (beautifulsoup library).

Education history

AGH University of Science and Technology 2014 - 2017 Bachelor in Information Technology and Econometrics
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