My name is Vasiliki Nikolaidi and starting from 2015 I embarked on a fascinating journey that has led me to where I am today — a passionate Data Analyst and a Master's student in Data Science and Artificial Intelligence at the University of Liverpool. My academic roots are in Electrical and Computer Engineering, which I pursued at the University of Patras, Greece, a foundation that equipped me with a robust problem-solving mindset and toolkit, and a deep appreciation for the intricacies of technology.
Professionally, I've had the opportunity to delve into data analysis with QA Ltd, where I employ my skills in automation, statistical analysis, descriptive and predictive analytics, data visualisation and the use of ML and NLP to unearth insights from complex datasets.
My lecturing experience at QA Ltd allowed me to teach a wide range of subjects, from Data Analytics to Advanced Database Systems, refining my ability to convey complex concepts clearly and engagingly. During my time as Software Developer for the Robotics Group at the University of Patras, I contributed to the development of software for Line Following and Maze robots, and Bionic Prosthetics which enhanced my software engineering skills, flexibility with C++ and Python and demonstrated my commitment to applying my knowledge for communal and educational purposes.
Python
Pandas
PyTorch
Scikit-learn
C++
HTML + CSS
JavaScript + TypeScript
JSON
SQL
NoSQL
Excel + VBA
Tableau
PowerBI
Power Automate
Power Query
Office Scripts
Git + GitHub
Azure
AWS
Data Analyst
QA Ltd, Remote, UK (September 2023 - July 2024)
Focusing on data cleaning, statistical and EDA analysis, data visualisations on tutors’, students’ and business data, to improve performance, maintain stakeholder relations, and acquire new partners.
Use of DAX and Power BI for interactive dashboards, Power Automate for task automation, reminders, pulling and processing data, VBA and Office Scripts to enhance accessibility and user interactions with Excel Workbooks, and JSON for customising SharePoint pages and lists.
Use of Natural Language Processing (NLP) and Machine Learning (ML) to analyse qualitative data and build an AI assistant to pinpoint weak areas and offer suggestions for staff training.
Associate Lecturer & Module Leader
QA Ltd, Birmingham, UK (March 2022 - September 2023)
Lecturer in Computer Science for Ulster University, University of Roehampton, and Solent University: Data Science (Level 5), Data Analytics (Level 7), Analytics & Business Intelligence (Level 4), Web Technologies (Level 4), Internet of Things (Level 5), Advanced Database Systems (Level 5), Object Oriented Design & Development (Level 5), Project Management (Level 6)
Module Leader for Foundation Computing (Level 3), Web Technologies (Level 4), Web Application Development (Level 5)
Tutor
Winsor Education, Birmingham, UK (June 2020 – September 2020)
Tutor in Foundation Programme in General Engineering (FPGE), Level 3 for undergraduate engineering programs teaching Physics Core modules, Key Mathematic Skills and Computing Principals
Software Developer
Robotics Group, University of Patras, Remote (March 2019 - June 2022)
Programmed IMU sensors in C++ for Line Following and Maze robots for the Robotics Club. Line Following robot "Dromeas" has competed and won in 3 international robotics competitions.
Acquisition of biosignals from 30 individuals, analysis and engineering of EMG Signals in C++ and Python for bionic prosthetic arms.
Developed a new family of onset and offset detection algorithms for electromyography (EMG) signals, based on the Teager-Kaiser Energy Operator (TKEO) with low error rates above 12dB.
Biomedical Engineering Intern
General University Hospital of Patras, Greece (November 2019 - April 2020)
Repaired 70+ small and medium sized medical devices including injectors, ECGs, C-arm, chromatographs, monitors, defibrillators, and blood analysers.
Created a desktop application in Python for the acquisition, analysis and pattern recognition of ECG signals to allow for detection of irregular patterns with 93% accuracy.
Established detailed acquisition guidelines for new medical equipment and devices, leading to a 30% reduction in procurement errors and ensuring compliance with industry standards, enhancing patient care quality.
Formal Education
- Master's in Data Science & Artificial Intelligence | University of Liverpool | Predicted Grade: Distinction (1st) | September 2023 - present
- Integrated Master's in Electrical & Computer Engineering | University of Patras, Greece | Grade: 2:1 | October 2016 – November 2021
- Senior High School Apolytirion (A-Levels) | Arsakeio Lyceum, Private School of Psychiko, Greece | Grade: 19.1/20.0 | September 2012 – July 2015
Certifications
Mastering Microsoft Power Automate
BCS Fundamentals Certificate Business Analyst
Alteryx Advanced Designer
Microsoft Power BI Data Analyst Associate
Big Data with PySpark
Microsoft Azure Fundamentals
Languages
Greek - Native
English - Proficient (ECPE)
French - Proficient (DALF C2)
German - Intermediate (Goethe B2)
Russian - Intermediate (Pushkin B2)
Japanese - Basic (JF Minato N5)
- Surface Electromyographic (sEMG) Signal Acquisition-Analysis-Classification For The Real-Time Control Of A Robotic Hand (Diploma Thesis, University of Patras in collaboration with Luleå University of Technology, Sweden, October 2021)
- A Novel Family of EMG Onset and Offset Detection Algorithms (Conference Paper, 30th Mediterranean Conference on Control and Automation, June 2022)
- Analysing pre-market and after-hours stock price changes and predicting market trends (Dissertation, University of Liverpool, Ongoing)