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Google Data Analytics Specialization https://www.coursera.org/account/accomplishments/specialization/certificate/KQG8NX9KB8HU
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Machine Learning Specialization https://www.coursera.org/account/accomplishments/specialization/certificate/BWUUXMBKASDV
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Omdena Local chapter challenge: Leveraging LLMs to Understand Global Mental Health Well-being & Fomo https://confirm.omdena.com/LCp_5us
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Algorithms Specialization from Stanford University: Work in progress
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π¦Ύ Worked in Data Science, Machine Learning, studied Applications of Approximation Theory (i.e. various Approximation Algorithms), Data Analysis.
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π± Learning LLMs and industrial machine learning, recommender systems.
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π― Looking to collaborate with people looking for a data scientist and/or researcher for their projects.
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π€³ Data Analysis Skills: Spreadsheets, SQL, Tableau, Power BI, KNIME, Apache Spark, SAS.
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π€³ Coding Skills: PYTHON (PYTORCH, QISKIT, PENNYLANE, ANACONDA, JUPYTER, NUMPY, PANDAS, KERAS), R, LATEX, C++, TENSORFLOW. DATA VISUALIZATION (STREAMLIT, PYDECK, PLOTLY, PLOTLY.EXPRESS, ALTAIR) DATABASES (MYSQL, POSTGRESQL, HSQL, SQLITE, SQL, XML/XSL), MATHEMATICA, MATLAB.
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π« How to reach me: https://viktoriiavoloshyna.com/, https://github.com/qqmath, https://www.linkedin.com/in/viktoriia-voloshyna-phd/.