Analyzed the company’s financial performance by calculating key profitability, liquidity, and solvency metrics to identify trends and provide actionable recommendations. 

Developed an interactive Power BI dashboard to visualize the company's financial health and support decision-making.

Predicted the total conversion values based on various advertising metrics.

Built and compared the performance of  linear regression model, decision trees model, random forest model and XGBoost model in predicting total conversion values.

Visualized the campaign metrics with Power BI.

Scraped billionaires' information from a website with Selenium and Scrapy.

Built an interactive dashboard presenting the global demographic and sectoral distribution of billionaires with Power BI .

Scraped listings information from a website with Selenium.

Cleaned data with Pandas and getting the coordinates with Geopy in Python for each place.

Visualized those listings on a map in Power BI and found out the average price of houses with selected number of rooms and baths.

Explored how annual members and casual riders use their bikes differently with Pandas, Numpy, Folium, Matplotlib and Seaborn in Python and making recommendations on how the bike-share company can encourage riders to become members.

Visualized the findings with Power BI .

Compared the performance of logistic regression, decision trees and random forest models on predicting if a rider would be a member.

Analyzed purchase and customer dataset to understand customer behavior, identify key growth opportunities, and develop targeted marketing strategies in order to enhance customer retention and support international expansion. 

Visualized the findings with Tableau .

Analyzed technical tickets dataset and made data-driven recommendations on how to optimize ticket handling processes, enhance customer satisfaction, and improve overall operational efficiency.

Visualized the findings with Power BI .

Leveraged insights from "The Great American Coffee Taste Test" to develop a data-driven strategy for opening their first coffee shop. 

Analyzed and made recommendations on the target audience, product offerings, and pricing strategy.

Visualized the findings with Tableau.

Joined tables from multiple data files and conducted exploratory data analysis with SQL to extract insights for optimizing resource allocation. 

Cleaned a dataset of employees in a company and  conducted exploratory data analysis with SQL.

Visualized the findings with Power BI.