

Entry-level Data Analyst transitioning from a non-IT background with 5 years of professional experience. Completed a comprehensive Data Analytics course with practical exposure to data cleaning, analysis, and visualization. Proficient in Excel, SQL, Power BI, Tableau, and basic Python (Pandas). Adept at understanding business problems and translating data into actionable insights.
Data Analysis: Python (Pandas, NumPy), Data Cleaning, Exploratory Data Analysis (EDA)
Database Management: SQL (Joins, Subqueries, Aggregations, RDBMS)
Visualization: Power BI (DAX, Dashboards), Tableau, Excel (Charts, Pivot Tables)
SUPER STORE DATA ANALYSIS
Tools Used - Excel (Power Query, Text Functions), SQL
Performed end-to-end data cleaning and data analysis on a Super Store dataset using Excel and SQL. Imported raw data into Excel using Power Query and transformed it into a well-structured format. Applied Excel Text functions to standardize data, handled null values, removed duplicates, and validated data quality. Loaded the cleaned dataset into SQL to perform data analysis using queries, aggregations, joins, and filters to extract business insights related to sales, profit, and customer behavior.
ZOMATO RESTAURANT & SALES ANALYSIS DASHBOARD
Tools Used - Power BI, Power Query, DAX (Basic), Excel (Raw Data Source)
Developed an end-to-end interactive Power BI dashboard using Zomato restaurant and sales data. Performed complete data loading, transformation, and cleaning using Power Query to convert raw, unstructured data into a clean and well-structured dataset. Analyzed restaurant performance, sales trends, customer ratings, and location-based insights, and visualized the results through dynamic and interactive Power BI reports.