Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 0

I haven't had the chance to work on business projects thus far, but I do view my achievements in academia as a testament to my abilities. For example, I worked on a project, where I gathered neuronal activity data from millions of neurons within the visual cortex. The nature of this neuronal data was diverse so I utilized various tools, including a Python-based GUI, to clean and classify it based on correlations.

Subsequently, through extensive reading of scientific literature and active engagement with my mentors, I formulated a hypothesis that shed light on the mechanisms of neuronal activation. I used MATLAB and Python to handle substantial datasets. Utilizing statistical approaches, I unearthed patterns within the data and constructed visual representations that effectively communicated my findings. Ultimately, I successfully defended my thesis, marking an accomplishment.
I have previously worked in the field of neuroscientific research at the Max Planck Florida Institute for Neuroscience, the University Medical Center Göttingen, and Western Ontario University on various projects. In these roles, I analyzed and visualized experimental data using Matlab and Python. I have expertise in exploring neural dynamics and activity, translating complex data into insights. During my time as a researcher, I acquired skills in formulating hypotheses, brainstorming various statistical and mathematical approaches (e.g. principal component analysis, linear non-linear model), and visualizing my results. These experiences culminated in my Master's Thesis and poster presentations.

Currently, I am seeking an opportunity to blend my scientific background with the dynamic world of data analytics. With a passion for transforming raw data into actionable solutions, I am excited to explore new opportunities and enter the field of business analytics. To facilitate this transition, I am undertaking a Data Analytics course at GoIT Ukrainian online school. Through this course, I am acquiring the essential concepts of business analytics, familiarizing myself with various metrics, and gaining proficiency in tools such as MySQL, Tableau, MS Excel (VBA), Power BI, GitHub, Jira, and Slack. I am actively engaged with training datasets, honing my skills with these tools.

My goal is to develop into a versatile data analyst who can convert data into actionable insights. Drawing from my experience working in an international environment, I possess excellent communication skills and exhibit reliability. I am enthusiastic about continuous growth as a professional.
With a passion for translating raw data into practical solutions, I am enthusiastic about exploring prospects in this field.
As a data analyst, my aspiration is to contribute my skills to drive data-driven insights in a business context. My objective is to bolster an organization's success by converting intricate data into actionable strategies that optimize business operations.
I plan to utilize Python to extract, clean, and manipulate data, unveiling patterns and trends that offer insightful business perspectives. With MySQL, my goal is to proficiently manage and query extensive datasets, ensuring data integrity and accessibility. The inclusion of Tableau, and PowerBI in my analytics toolkit will enable me to visually represent data via interactive dashboards and reports. I am excited about creating impactful visualizations that adeptly communicate intricate findings, thereby facilitating data-centric discussions and aiding strategic decision-making.