J.W.

Jędrzej Wydra

Data Scientist

Lawyer, Mathematician

Poznań, Poland


Skills

R programming

90%

Python programming

80%

Problem solving

85%

Languages

Polish

English



Glance at Experience

Four scientific publications;

12 data science projects;

Nearly 20 GitHub repositories;

Over 120 projects completed on DataCamp;

More than 200 data science courses completed;

Described by students as the most charismatic lecturer in the faculty.



Hobby

Tea, matcha, yerba mate, but no coffee;

Psychology (to know what’s in your mind);

Calisthenics (for breaking my own limits);

I am one with the Force, the Force is with me.



Work Experience

Researcher, Ph.D. Student /
Adam Mickiewicz University in Poznań
October 2020 - Current

Combining my background in law and mathematics, I’m currently focused on my PhD research, where I focus on evaluating forensic entomology evidence, particularly in estimating the age of insect traces. I’m also exploring ways to apply data science to legal challenges, using advanced analytics to improve the accuracy and reliability of legal processes.


Head of Technology /
SICSS-AMU/Law
Collaboration with Duke University
December 2021 - Current

Involved in the organisation of the entire event, I am responsible for designing the workshop program, supervising the teaching assistants, and coordinating the use of technology throughout the Summer Institute. My role ensures that all technical aspects are seamlessly integrated, contributing to the smooth and effective execution of the program.


Data Analyst /
Thermogenesis, feeding matrix and parental care in carrion beetle Necrodes littoralis L. (Silphidae): spatiotemporal patterns, determinants, mechanisms and fitness effects of heat production in the matrix
National Science Centre of Poland
March 2022 - Current

grant no.: 2021/41/B/NZ8/00474;
principal Investigator: prof. UAM dr hab. Szymon Matuszewski

I focus on analyzing and structuring data, transforming unstructured sources — such as thermal imaging — into structured formats. My role involves preparing visualisations, as well as proposing and implementing mathematical solutions to complex problems. When necessary, I also programmatically develop and apply these solutions to ensure the project’s success.


Data Scientist /
Freelancer
January 2024 - Current

I specialize in applying data science and AI to legal issues, leveraging advanced analytics to solve complex problems. However, my expertise is not limited to the legal field.


Main achievements

Over 1 000 000 XP points on DataCamp
December 2023

Specialization in bayesian statistics /
University of California, Santa Cruz
August 2023

Professional Data Analyst Certificate /
DataCamp
May 2023

Second Place Award for Best Master’s Thesis /
Faculty of Law and Administration Competition
August 2020

Education

Mathematics /
Adam Mickiewicz University in Poznań
2020 - 2023

Master’s Degree, Specialization in Theoretical Mathematics


Mathematics /
Adam Mickiewicz University in Poznań
2016 - 2020

Bachelor’s Degree, Specialization in Data Analysis


Law /
Adam Mickiewicz University in Poznań
2015 - 2020

Master’s Degree, Specialization in Forensic Science


Worth Mentioning

Digital Traces /
Adam Mickiewicz University in Poznań
March 2024 - April 2024

Completed a course led by the Central Cybercrime Bureau and the Legal Clinic of Adam Mickiewicz University, Poznań. This course focused on identifying and managing digital traces in criminal cases, offering practical insights into forensic approaches to cybercrime.

Certificate:
Safe Driving /
Škoda Autodrom Poznań
March 2024

Completed a practical course on safe driving, organized by Škoda. The training covered essential techniques such as navigating slaloms, controlling the vehicle in hazardous conditions (e.g., skidding), emergency braking, and driving on slippery surfaces to enhance overall driving safety and control.

Certificate:
Computation and Modelling 2022 /
Wrocław University of Science and Technology
July 2022

Attended a week-long international summer school on the mathematical aspects of advanced data analysis methods. This program provided in-depth exposure to the computational and theoretical modeling techniques essential for tackling complex data analysis challenges.


Certificate: