My fascination with numbers and the stories, they reveal sparked my journey into data analysis. Even before the term "data analyst" entered my vocabulary, I was analyzing data for personal projects. This passion ignited a fire within me to explore the vast world of data analysis. My hunger for knowledge led me to online courses, YouTube tutorials, intensive boot camps, and independent research.
Now, I leverage this passion to transform complex data into actionable insights. As a data analyst, I delve into the world of information, uncovering patterns and trends that drive informed decision-making.
I worked on an extensive project involving a large e-commerce database with nearly 100,000 records. The process included utilizing SQL for querying and Python with NumPy, Matplotlib, and Seaborn for data manipulation and visualization
This project focused on addressing key business challenges for Blinkit, including revenue optimization, customer retention, and operational efficiency. Using Excel, I designed a dynamic and interactive dashboard providing a deep dive into Blinkit's Grocery sales data.
Crafting dashboards and analyzing data, this project has increased my experience of Power BI and made of more capable of handling different type of data in different ways.
This project includes Data Exploration & Cleaning, Visualization, Data Preprocessing, and Model Building which includes Linear Regression, Ridge Regression, Decision Tree Regressor, Random Forest Regressor, Extra Trees Regressor and XGBRegressor
Adidias' success story involves strategic sales methods, product popularity, and regional variations. Whether you're a marketing professional or a fan of the brand, understanding these insights can be fascinating!
In this section, I showcase my journey learning SQL, from basic queries to advanced data manipulation techniques like joins, aggregations, and window functions.
Power BI allows me to create interactive data visualizations and dashboards that effectively communicate insights to stakeholders. I leverage this skill to transform complex data into clear and actionable stories.
MS Excel is my go-to tool for data cleaning and wrangling. I use its powerful formulas and functions to ensure my data is accurate and ready for further analysis.
Tableau empowers me to create clear and engaging data visualizations. I can build interactive dashboards that allow users to explore data independently through filtering, drilling down, and interacting with various elements.
I leverage libraries like Pandas for data cleaning and manipulation, and NumPy for numerical computations. Using these libraries, I can efficiently handle missing values, outliers, and explore data through statistical analysis. Furthermore, I can create custom data visualizations using libraries like Matplotlib or Seaborn, allowing me to tailor visualizations to specific needs and uncover hidden patterns within the data.
As a data enthusiast with a knack for decoding patterns, I bring expertise in analytics, turning data into actionable insights. Let's unravel the stories hidden in numbers together.