Varshni Ramdhani
Portfolio

Experienced Data Analyst with a broad skill set in Excel, SQL, Tableau/ Power BI and Python. Proficient in translating complex data into actionable insights to drive business decisions.

About me:

Meticulous, team-oriented, and collaborative data analyst with a decade of experience interpreting and analyzing data across governance, sales, finance, and retail sectors. Demonstrated proficiency in a variety of analytical tools and a superior understanding of business operations, enabling effective and actionable analyses. Passionate about identifying and implementing efficiencies that drive successful business solutions.

Tic Tac Toe Python Code

As part of my Python course one of the milestone projects was to write the code for a traditional Tic-Tac-Toe game. This was a fun way of learning Python, and also very challenging. Applying the logic behind the way the game works makes this a great project. Hope you like it, as much as I enjoyed writing this code!

FIFA World Cup

As a huge soccer fan and given the fact that the FIFA World Cup 2022 is starting soon, I couldn't help myself but explore a World Cup Dataset. I tried analyzing and answering some questions in regards to trends from previous World Cups.

Covid-19 Data Exploration

Since I started learning SQL during the pandemic (Covid-19), it was on brand to explore a dataset regarding Covid-19. This project gave me the opportunity to get comfortable using SQL commands and boosted my confidence to explore more in SQL.

Tableau Visuals

Explore my Tableau Public profile to see my passion for data visualization in action. With a range of interactive dashboards and visualizations, I showcase my skills several areas. Let me help you bring your data to life and tell your story through powerful visuals.

DVD Rental SQL Project

In this project, I have queried the DVD Rental database. The Database holds information about a company that rents movie DVDs. For this project, I have queried the database to gain an understanding of the customer base, such as what the patterns in movie watching are across different customer groups, how they compare on payment earnings, and how the stores compare in their performance.