Position: Data Analyst
Category: Data Analyst
English level: pre
Years of experience: 0.5

Data Analyst skilled in analyzing complex datasets and deriving actionable insights. Proficient in data collection, cleaning, preprocessing, and utilizing statistical and machine learning techniques. Strong expertise in exploratory data analysis, predictive modeling, and data visualization. Effective collaborator, working closely with cross-functional teams to deliver data-driven solutions. Seeking opportunities to contribute to data-driven strategies and drive business growth.
Hello, my name is Andrii, and I'm a specialist in the field of data analysis. I have a successful track record of working on diverse projects both within teams and independently. Throughout my career in data analytics, I've had the opportunity to work with various tools, including Google Sheets, BigQuery, Tableau, Looker Studio, Microsoft Power BI, Amplitude, Google Analytics, and Python. Additionally, I have related experience in the field of electrical energy, where I conduct analysis and develop algorithms to detect energy losses. I'm always open to learning new things and exploring opportunities for growth.

Here is a list of projects I've worked on:
1. Calculation of key product metrics. In this project, I used Google Sheets for the calculation and visualization product metrics such as: revenue, ad spend, conversion rate to paid, ARPPU, DAU, WAU, MAU, cohort table. Based on this data, the customer was provided with recommendations for further work.
2. Calculation of visitor funnel progression on the platform. In this project, I used BigQuery for calculating the following metrics - conversion by date and traffic channels, сomparison of conversions between different landing pages, сhecking the correlation between user engagement and purchase behavior.
3. Visualization metrics. In this project I used Tableau. My task was to create the following dashboards based on the collected data:  Information about Revenue, Information about the stages completed from registration to the first payment.
4. Visualization metrics. In this project I used Google Looker Studio. My task was to create a dashboard - Advertising campaign metrics.
5. Сalculation of metrics and visualization. In this project I used Microsoft Power BI. My task was to calculation metrics: total profit and loss for each month, average cost of products for each category, top 5 sellers by total sales volume and visualize them.
I am looking forward to finding a job as a data analyst in a company that is working on exciting projects. I would like to join a friendly and collaborative team where I can improve my skills and grow professionally. My desire is to make a significant contribution to the success of the business by using data to make better decisions.