Detail-focused Data Analyst with knowledge in data analysis tools like Tableau, Power BI, MS Excel and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for data. Willing to take on the responsibilities to meet team goals.
Financial Statement Analysis (2024)
Project Objective: To analyze the financial performance of a business using monthly revenue and expense data.
Technologies used: Pandas, Matplotlib, Jupyter Notebook
Roles and responsibilities: Used Python to analyze financial data, calculate key metrics such as profit, profit after tax, and profit margin, and evaluate monthly performance to identify trends and outliers. Created visualizations for a better insight employing Matplotlib.
Face Recognition Model (2024)
Project objective: The model aims to determine facial resemblance for biometric matching.
Technologies used: Kaggle, MS Excel
Role and responsibility: Acquired image data from Kaggle and imported the CSV file Excel for preprocessing. Performed data cleaning to address duplicate, missing values, and formatting inconsistencies. Subsequently, exported the cleaned CSV file for further process.
Sales at the Supermarket (2024)
Project objective: To analyze and derive actionable insights from a supermarket dataset using advanced Excel techniques, focusing on sales trends, profit margins, customer purchasing patterns, and regional performance.
Technologies used: MS Excel, VLOOKUP, HLOOKUP, Pivot tables, Charts
Role and responsibility: Prepared and cleaned the dataset for analysis, ensuring data accuracy and used advanced Excel tools like Pivot Tables and Charts to analyze sales, profit margins, and customer trends. Derived actionable insights on product performance, customer segments, and regional trends, documented findings, and provided data-driven recommendations to improve sales and profitability.
Power BI
Tableau
MS Excel