Pandas Developer Resume

Location

Poland

Rate

$21 / per hour

Years of experience

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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Pandas Developer Resume

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