Swapna Sunilkumar

Data Analyst

About

Experienced Data Analyst with proven ability to generate actionable insights that significantly enhance business outcomes. Proficient in SQL for data manipulation and analysis, experienced with dashboard and report building tools like Tableau and Microsoft Power BI and possess strong communication, organizational, and problem solving skills, with adaptability to a fast-paced environment as well.Current Project
1. Working for a manufacturing company on analysis and automation of 1600 resellers data, tracking whether resellers price adhere to MAP compliance policy and issue warning and suspension.
Analysis done using SQL, Power BI and automation using python.
2. Working for a software company as HR data analyst.Achievements
• Improved customer base by 25% & company profit by 30% by providing suggestions to improve sales by identifying
| the best days & best media for ad campaigns
| regions to concentrate and promote marketing activities
| products to promote
| evaluating metrics like YOY growth, YTD sales
| forecasting sales etc
leveraging the skills in SQL and data visualization skills in Microsoft Power BI and Tableau
• Win freelance data analysis projects of companies that require ad hoc data analysis cost effectively
• Same client hired me twice for 2 different data analysis projects, impressed by my skills and impact that I could bring in their business.Work Experience
Freelance Data Analyst |January 1st ,2024 - PresentVolunteer Data Analyst, Data Kind UK| June 1st, 2024 - Present

I am skilled in

  • Microsoft Excel

  • SQL

  • Python

  • Microsoft Power BI

  • Tableau

  • Exploratory Data Analysis

  • ETL

  • BigQuery

  • MySQL Workbench

  • Jupyter Notebook

Contact

35 Hollin Bank Court
Blackburn, England, UK
BB2 4GYPh: 07810052297
www.linkedin.com/in/swapna-sunilkumar-69348475
Email: [email protected]

Projects

Freelance Project
Client: Ecommerce Company
Problem Statement
Are the customers retaining or losing in the business? Who are the customers to be focused?
Which are the products to be promoted?
What are the suggestions to the marketing department?Tools used: SQL, BigQuery, Microsoft Power BI, Google Analytics GA4.