Swetha Boddu

Data Aspirant

[email protected] +91 8688559523

Resume

Hello, I am

Swetha Boddu.

1

Excel
Project

1

Python
Project

1

PowerBI
Project

About Me

I am a passionate and highly motivated professional with a degree in Data Science, actively seeking opportunities in the fields of Business Analysis and Data Analysis. I thrive in data-driven environments and am committed to delivering actionable insights that drive business growth.

Key Skills

Python

Tableau

Hadoop

Spark

ETL

MS-Word

Github

Jira

HTML

CSS

My Projects

Sales Report with AtliQ Technology

Domain/Function: Sales

King County House sales

Domain/Function: Data Analysis

Spotify Analysis

Domain/Function: Data Analysis

E-Commerece Data Visualization

Domain/Function: Data Analysis

My Experience

Virtusa

Hyderabad, Telangana

Trust & Safety Analyst

Oct 2024– Present

Reviewed and actioned sensitive content (child safety, hate speech, self-harm, violent imagery) with 100% adherence to global policy standards.

Investigated abuse networks, identified patterns of misuse, and prepared escalation reports for stakeholders, achieving 99% SLA compliance.

Collaborated with policy and enforcement teams to refine workflows, reducing repeat policy violations and improving detection accuracy.

Trainity

Jaipur, Rajasthan

Data Analyst intern - May 2023 - Jul 2023

Pioneered and maintained analytics frameworks, improving campaign targeting accuracy by 30% by transforming complex datasets into actionable insights for marketing and sales teams.

Spearheaded customer acquisition by 19% by analyzing complex datasets to identify key growth opportunities.

Delivered bi-weekly progress reports, resulting in a 25% improvement in team collaboration and project delivery efficiency by collecting detailed project requirements.

Awards & Certificate

Logistics and Supply Chains - Fundamentals, Design, Operations

Google Data Analytics Specialization

Data Analytics consulting virtual internship

PwC Switzerland - Power BI Job Simulation

Goldman Sachs - Excel Skills for Business Job Simulation

Let's Connect

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

Mail Me

[email protected]

https://www.linkedin.com/in/swetha-boddu/

Call Me

+91 8688559523

GitHub

https://github.com/swethaswe09

Excel Project

Sales Report with AtliQ Technology

Domain/Function: Sales

AtliQ Sales Analytics Reports showcase my exploration into customer and market performance, financial health, and strategic decision-making. Leveraged ETL methodologies, Power Query, Power Pivot, and DAX to craft impactful reports.

View Project
Engagement

View Project
on GitHUB

It shows the Netsales Performance of the customer from 2019 to 2021 and also we can see the Netsale Performance of 21 vs 20 year.

This shows us the country's performance vs. target analytics.

Project Details

Project Highlights:
Sales Report Insights:
📈 Analyzed customer sales data and tracked growth trends over the years in the Customer Performance Report.
🌐 Conducted a comprehensive analysis comparing market performance with sales targets in the Market Performance and Sales Targets Comparison.

Technical Skills Developed:
🔍 Utilized ETL processes for seamless data processing.
💡 Built data model relationships and added supplementary data using Power Pivot.

Soft Skills Enhanced:
📊 Focused on creating user-centric reports with a deep understanding of the end-user's needs.
🎯 Optimized the report generation process for greater efficiency.
📅 Developed a strategic approach to building thorough and detailed reports.

Conclusion: This project has been a rewarding experience, allowing me to sharpen both my technical and soft skills. I'm excited to leverage these skills in future projects and contribute to impactful, data-driven decisions.

King County House sales

Domain/Function: Data Analysis

A data analytics project exploring King County house sales using Python and visualization tools. It analyzes housing trends, pricing patterns, and key factors influencing property values for data-driven insights.

View Project
on GitHUB

View Project
on

This is the map of king county areas and if we hover on them we can see the average price of houses in each area.

This picture shows and explains the Distribution of house prices.

Project Details

This project is a Tableau project based on King County House sales. This data set contains house sales prices for King County ,which includes Seattle. It includes homes sold between May 2014 and May 2015.I have made an interactive dashboard on the dataset and gained some insights on house sales in King County.

Python Project

Spotify Analysis

Domain/Function: Data Analysis

Data Analysis using Python on music-related data sets. In this project, I analyzed, visualized, and drawn insights with Python libraries and functions.

View Project
on GitHUB

This is a correlation heat map between variables.

This picture denotes Duration of the songs in different genres

Project Details

This project, Spotify Analysis, provides an in-depth exploration of Spotify’s music dataset to uncover insights into song popularity, artist trends, and audio feature relationships using Python-based data analytics techniques. The analysis involves data cleaning, exploration, visualization, and interpretation of key attributes such as danceability, energy, tempo, valence, and loudness to understand what makes songs successful on the platform.

Using libraries like pandas, numpy, matplotlib, and seaborn, the project performs detailed Exploratory Data Analysis (EDA) to identify correlations between audio features and track popularity. It visualizes artist dominance, genre distributions, and listener preferences across different eras. Additionally, trend analysis highlights how the characteristics of popular songs evolve over time, providing a perspective on changing audience tastes and music production styles.

PowerBI Project

E-Commerece Data Visualization

Domain/Function: Data Analysis

This visualization contains the dataset of e-commerece overview Applied advanced data transformation techniques, including aggregation and filtering functions in MS-Excel, to enhance data quality and streamline the reporting process. Employed Power BI to load and visualize the data, uncovering key

View Project
on GitHUB

This is the E-commerce Final Dashboard of sales of products.

This is the Excel file of E-commerce data.

Project Details

This E-commerce Data Visualization project focuses on analyzing and visualizing online retail sales data to uncover meaningful business insights and consumer behavior patterns. Using Python, pandas, matplotlib, and seaborn, the project performs comprehensive data cleaning, aggregation, and exploratory analysis to evaluate key metrics such as total revenue, order frequency, customer segmentation, and product performance.

It highlights trends in sales growth, seasonal demand, and top-performing product categories, enabling data-driven decisions for marketing and inventory optimization. Interactive visualizations and plots illustrate relationships between customer demographics, purchase frequency, and revenue contribution.

The project demonstrates strong analytical and visualization skills by transforming raw e-commerce datasets into clear, actionable insights.