Data & Business Analyst

Vamsi
Boddupalli

Venkat Sai Vamsi Boddupalli

Turning complex data into clear decisions — bridging business strategy with analytical precision.

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01 — About

Analyst by craft,
storyteller by instinct.

I'm Vamsi Boddupalli, a data and business analyst passionate about transforming raw data into actionable insights that drive meaningful outcomes.

My work sits at the intersection of analytical rigor and business acumen — translating numbers into narratives, and requirements into results.

Whether it's building dashboards, modeling business scenarios, or uncovering trends in messy datasets, I bring clarity to complexity.

3+
Years of Experience
15+
Projects Completed
5+
Certifications
Curiosity
02 — Skills

Tools & Expertise

Analytics & BI
  • Power BI
  • Tableau
  • Excel / Power Query
  • Google Analytics
  • Looker
Data & Programming
  • SQL (T-SQL, MySQL)
  • Python (Pandas, NumPy)
  • R (ggplot2, dplyr)
  • ETL Pipelines
  • Data Modeling
Business Analysis
  • Requirements Gathering
  • Process Mapping (BPMN)
  • Stakeholder Management
  • Agile / Scrum
  • Use Case Documentation
Cloud & Platforms
  • Azure (Data Factory)
  • AWS (S3, Redshift)
  • Snowflake
  • Databricks
  • Jira / Confluence
Statistical Methods
  • Regression Analysis
  • Forecasting
  • A/B Testing
  • Cohort Analysis
  • KPI Design
Soft Skills
  • Data Storytelling
  • Cross-functional Collaboration
  • Problem Decomposition
  • Presentation & Communication
  • Critical Thinking
03 — Projects

Selected Work

01
Sales Performance Dashboard

Built an end-to-end Power BI dashboard tracking $50M+ in revenue across regional teams — enabling leadership to identify underperforming segments 40% faster.

Power BI SQL DAX
02
Customer Churn Prediction Model

Developed a Python-based predictive model using logistic regression to identify at-risk customers, resulting in a 15% improvement in retention campaign targeting.

Python Scikit-learn Tableau
03
Supply Chain Demand Forecasting

Designed a time-series forecasting model in R to predict quarterly inventory needs, reducing stockouts by 22% and cutting excess inventory costs.

R Forecasting Excel
04
HR Analytics — Workforce Insights

Analyzed employee data across 5 departments to uncover attrition patterns and diversity trends, presenting findings to the C-suite with actionable policy recommendations.

SQL Power BI Python
04 — Certifications

Credentials & Learning

📊
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
2023
☁️
AWS Certified Cloud Practitioner
Amazon Web Services
2023
🐍
Google Data Analytics Professional Certificate
Google / Coursera
2022
📈
Tableau Desktop Specialist
Tableau / Salesforce
2022
🔷
CBAP — Certified Business Analysis Professional
IIBA
2024
Agile Analysis Certification (AAC)
IIBA
2024
05 — Contact

Let's connect

Open to new opportunities, collaborations, and interesting conversations about data and business strategy.