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Viktoriia Khelemska

Viktoriia Khelemska

Aspiring Data Scientist and Automation Developer

Technology / Internet

Glasgow, Glasgow City

Social


About Viktoriia Khelemska:

A highly skilled Data Analyst with over 3 years experience in Robotic Process Automation Development, Machine Learning, and Business Analysis. Broad knowledge of RPA software such as UiPath Studio & StudioX, Business Management platforms such as IBM BPM, and experience with Data Visualisation frameworks using Python, R, and SPSS. Currently enrolled in the EITCA Academy to update and upgrade my knowledge of Machine Learning, Deep Learning, and Neural Networks. 

Experience

Data Science Intern Jul 2024 - Current
OESON Remote
• Practicing Data Science techniques and applying them to real life scenarios of digital statistical research using Python.


Commercial Administrator Feb 2024 - Jul 2024
Everwarm Glasgow, UK
• Using SimPRO to identify, log, and audit charges for utility works done on social housing contracts.


GIS Technician Nov 2023 - Jan 2024
RMSI/Scottish Power Glasgow, UK
• Digitising engineering sketches of Scottish Power engineers into the ESRI digital mapping log.


Guest Services Coordinator Jul 2023 – Sep 2023
HSBC Securities Edinburgh, UK
• Maintaining and monitoring a log of all communication to ensure efficient use of conference spaces.


RPA Developer Jul 2022 – Jul 2023
ABP Consultancy Glasgow, UK
• Designing and developing dynamic and responsive automation solutions using UiPath Studio.
• Working with RPA Challenge to practice text, numerical, and financial data retrieval.
• Documenting client consulting processes into workflow visualisations.

Education

EITCA/AI Artificial Intelligence Academy    Jul 2024-Current     Remote
Introduction to Investment, Risk and Taxation 


RobustIT    Jul 2024-Current     Remote
Data Analysis, Machine Learning, Deep Learning

University of Strathclyde Sep 2020 – Feb 2022     Glasgow, UK
Faculty of Computer Science 
• Machine Learning and Deep Learning, Big Data Technologies, AI for Autonomous Systems, AI for Finance.

University of Strathclyde Sep 2019 – Aug 2020     Glasgow, UK
Faculty of Computer Science & Faculty of Management Science 
• MSc Financial Technology (Distinction)

Middlesex University Sep 2016 – Jul 2019    London, UK
Business School
• BSc Banking and Finance (2:1)

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