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Maryna Kostiuk Avatar
Maryna Kostiuk Avatar

Maryna Kostiuk

Data Analyst
About Maryna
Churn Rate VS Revenue Churn Rate
Churn Rate VS Revenue Churn RateTo create this report, I used the Telecom Company dataset from Data Playground. The main tool for analysis is Power BI, with pre-cleaning in Excel. During the project, I calculated not only the churn rate but also the revenue churn rate and MRR.
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Churn Rate VS Revenue Churn Rate
Churn Rate VS Revenue Churn RateTo create this report, I used the Telecom Company dataset from Data Playground. The main tool for analysis is Power BI, with pre-cleaning in Excel. During the project, I calculated not only the churn rate but also the revenue churn rate and MRR.
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Are Your Passengers Satisfied? Let's Find Out!
Are Your Passengers Satisfied? Let's Find Out! This is another project to show my Power BI, SQL, and Excel skills. I used a dataset: Airline Passenger Satisfaction from Maven Analytics Data Playground.
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Are Your Passengers Satisfied? Let's Find Out!
Are Your Passengers Satisfied? Let's Find Out! This is another project to show my Power BI, SQL, and Excel skills. I used a dataset: Airline Passenger Satisfaction from Maven Analytics Data Playground.
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When Spring Comes To Toronto: Weather Data Analysis,1840-2003 years
When Spring Comes To Toronto: Weather Data Analysis,1840-2003 yearsThe idea of the project - is to find the answer if spring comes earlier and autumn comes later in Toronto with each year. To answer it I used MySQL, Power BI, and weather data for each day from 1840 to 2003 from climate.weather.gc.ca.
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When Spring Comes To Toronto: Weather Data Analysis,1840-2003 years
When Spring Comes To Toronto: Weather Data Analysis,1840-2003 yearsThe idea of the project - is to find the answer if spring comes earlier and autumn comes later in Toronto with each year. To answer it I used MySQL, Power BI, and weather data for each day from 1840 to 2003 from climate.weather.gc.ca.
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What and When Is Sold Best? Electronics Store Sales Analysis
What and When Is Sold Best? Electronics Store Sales AnalysisSales analysis is vital for businesses to understand customers, their preferences, and buying behaviors and find buying patterns to predict and be prepared for future sales. This analysis was made with Excel, Power BI, and SQL.
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What and When Is Sold Best? Electronics Store Sales Analysis
What and When Is Sold Best? Electronics Store Sales AnalysisSales analysis is vital for businesses to understand customers, their preferences, and buying behaviors and find buying patterns to predict and be prepared for future sales. This analysis was made with Excel, Power BI, and SQL.
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Pizza Sales Analysis. Including The "Most Often Sold Together" SQL Query
Pizza Sales Analysis. Including The "Most Often Sold Together" SQL Query Pizza sales analysis based on the dataset from the Maven Analytics Data Playground. Used tools: primary analysis was made using SQL, Power BI: for visualizations and some calculations, and Canva for the background and a market basket analysis chart.
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Pizza Sales Analysis. Including The "Most Often Sold Together" SQL Query
Pizza Sales Analysis. Including The "Most Often Sold Together" SQL Query Pizza sales analysis based on the dataset from the Maven Analytics Data Playground. Used tools: primary analysis was made using SQL, Power BI: for visualizations and some calculations, and Canva for the background and a market basket analysis chart.
4 Likes
1 Comments
Exploration of Consumer Buying Behavior with SQL and Power BI
Exploration of Consumer Buying Behavior with SQL and Power BI📊 The purpose of this sales analysis is to explore segments of customers by buying behavior, seasonality, top hours, top products, and products sold the most, and more. 🛠 Tols used: SQL (BigQuery db), Power BI for analysis and visualization.
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Exploration of Consumer Buying Behavior with SQL and Power BI
Exploration of Consumer Buying Behavior with SQL and Power BI📊 The purpose of this sales analysis is to explore segments of customers by buying behavior, seasonality, top hours, top products, and products sold the most, and more. 🛠 Tols used: SQL (BigQuery db), Power BI for analysis and visualization.
2 Likes
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Maven Roasters Analysis
Maven Roasters AnalysisPower BI report analyzing sales data of the fictional Coffee Shops chain called Maven Roasters.
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Maven Roasters Analysis
Maven Roasters AnalysisPower BI report analyzing sales data of the fictional Coffee Shops chain called Maven Roasters.
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National Rail Challenge
National Rail Challenge In an industry as dynamic and crucial as railway transportation, staying ahead requires constant innovation and optimization. My new dashboard empowers the National Rail decision-makers with real-time insights.
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National Rail Challenge
National Rail Challenge In an industry as dynamic and crucial as railway transportation, staying ahead requires constant innovation and optimization. My new dashboard empowers the National Rail decision-makers with real-time insights.
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Spotify Wrapped 2024
Spotify Wrapped 2024Analyzed a Spotify listener's 2024 data using Power BI to uncover insights like total listening time, favorite artists, and top tracks.
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Spotify Wrapped 2024
Spotify Wrapped 2024Analyzed a Spotify listener's 2024 data using Power BI to uncover insights like total listening time, favorite artists, and top tracks.
4 Likes
0 Comments
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