Data Analyst with experience in Pandas, SQL, Power BI, Tableau and Excel
I graduated from Pondicherry University, where I earned my B.Tech degree in Electronics and Communication Engineering. My true passion lies in the field of data analysis. I have hands-on experience using Python, Pandas, and SQL to meticulously clean data and conduct data analysis. Additionally, I have proficiency in data visualization tools such as Tableau and Excel, where I enjoy crafting visually appealing dashboards and insights. My favorite aspect of data analysis is discovering insights within the data, It's like solving a captivating puzzle game. The thrill of uncovering new discoveries in data, especially when it aligns with my interests, is truly exciting.
Nov 2023 - Dec 2023
Quantium - Remote
Python, SQL, HTML
Power BI, Tableau, Jupyter Notebook, Microsoft Excel, Git
Pandas, NumPy, Matplotlib, Scikit-learn, Seaborn
English, Tamil
Recommending the right T-shirts to each customer can be challenging with a vast selection. Traditional recommendation systems may struggle to capture the nuances of individual preferences, leading to suboptimal suggestions and missed opportunities for sales.
Customer segmentation is a crucial aspect of marketing strategy as it helps businesses understand their customers better and tailor their marketing efforts accordingly. By dividing customers into groups based on similarities such as demographics, behavior, or purchasing patterns, businesses can target each segment more effectively.
Customer segmentation is a crucial aspect of marketing strategy as it helps businesses understand their customers better and tailor their marketing efforts accordingly. By dividing customers into groups based on similarities such as demographics, behavior, or purchasing patterns, businesses can target each segment more effectively.
This Project contains the code and resources for a customer churn data analysis project conducted entirely using Power BI. The project aims to analyze customer churn data, derive insights, and provide recommendations for improving customer retention strategies.