Марія

Highly skilled in Python coding and scripting, Flask framework, relational and non-
relational databases MySQL, MongoDB

Well-acquainted with database engineering, data warehouses, and data processing

Solid interpersonal skills; always maintain a friendly and positive attitude

Motivated by game-changing challenges and equipped with relevant industry
experience. Work well outside comfort zone and under deadlines.

Mariia Liashenko SKILLS
[open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section)  Programming languages: Python, SQL
https://github.com/Mary1311  Web Technologies: HTML, CSS
 Frameworks: Flask
SNAPSHOT  Version Control: GitHub, GitLab
 26 years / 13-Nov-1996  Front End: JSON, HTML
 Math background  Databases: MySQL, MongoDB, Redis
 Experience in programming  IDE`s/ Development Tools: PyCharm, VSCode
 Strong analytical skills  Debugging and troubleshotting
 Excellent verbal and written  Testing Tools: PyTest
communication skills  Serial Protocols: MODBUS
 Linux Fundamentals and Scripting
 A good handle on Docker

PROFESSIONAL EXPERIENCE
KOENA tec GmbH [August 2022 – April 2023]
Position: Python Developer
Location: Stuttgart, Germany
Key learning: Experience with CI/CD, containerization technologies like Docker, familiarity with Modbus libraries such
as pymodbus (Python)
Achievements: Plan and develop an application for automated customer deployment; develop a
Docker based Modbus reading application; extend functionality of existing Application by adding quality assurance
features
Proven Leadership: Improving development processes, defining project goals, creating project plans, and
coordinating resources to meet deadlines
Hard skills used: Knowledge for developing GUI, understanding networking principles, TCP/IP protocols and Modbus
protocol
Tools used: Python, HTML, Git, Gitlab, Docker, MODBUS
Induux International GmbH [May 2022 – August 2022]
Position: Python Developer
Location: Stuttgart, Germany
Key learning: Object-oriented programming, algorithms, knowledge of HTTP and REST
Achievements: Implementing rest API in Python using micro-framework like Flask with SQLALCHEMY in the backend
for management of data center resources, wrote Python scripts to parse XML documents and load the data in
database, development of new features in close cooperation with product managers, development and support for
maintenance, optimization and scaling of existing systems using Python, Flask plus MongoDB
Proven Leadership: Working in a team to achieve the final goal
Hard skills used: Knowledge of web frameworks, Front-end technologies, ORM tools (SQLAlchemy)
Tools used: Python, Flask, MongoDB, HTML, Git, Docker

Crédit Agricole [July 2021 – October 2021]
Position: Data Analyst
Location: Kyiv, Ukraine
Key learning: Data modeling, data science, statistical forecasting models, predictive analytics, data integration and
manipulation
Achievements: Monitoring analytics results, identification of trends and anomalies, development of custom BI
reports and dashboards for corporate analytics platform; performing data extraction and data transformation
processes to create the data set required for the dashboard, handling ad-hoc requests for data discovery
Proven Leadership: Responsibility for determining the goals and fulfillment of all deadlines
Hard skills used: Statistics and probability theory, risk theory, mathematics of machine learning, programming a
multitude of digital tools and software
Tools used: Statistics-Tools (RStudio, statistical packages in Python), SQL, MS Excel and Power BI

Pensionskasse vom DRK [March 2020 – June 2020]
Position: Data Analyst
Location: Bonn, Germany
Key learning: Portfolio optimization, automation of strategic processes, financial statement analysis, reporting
Achievements: Automation of internal processes for data reports. Updated modelling functions according to
extrapolation of market values of asset classes using advanced tools. Support the company leadership by creating a
comprehensive view of the fund’s assets
Proven Leadership: Independently conducted methodological review of internal model governance and drafted a
step-by-step guideline that included the parameters and modelling work needed to ensure adherence to Solvency II
Hard skills used: Statistics and probability theory, advanced financial statement analysis, programming a multitude of
digital tools and software
Tools used: VBA, RStudio, SQL and MS Excel

Education and Languages
EDUCATION
 Ulm University, I started my Master degree in LANGUAGES
November 2020. Faculty of Economics.  English (fluent level)
Main field of study: mathematics  German (intermediate)
 Taras Shevchenko National University of  Ukrainian (native level)
Kyiv, Ukraine, graduated in July 2020.  Polish (intermediate)
Faculty of Mechanics and Mathematics.
Main field of study: approximation and
stochastics. GPA: 87/100.