About

Data Analyst with hands-on experience in SQL, Python, Power BI, Excel and Tableau. Skilled in data cleaning, exploratory analysis, KPI reporting, customer analytics, dashboard development and predictive analytics.

Projects3

• Business Sales and Customer Analytics

  Analyzed 524,878 transactions generating £10.64M revenue across 19,960 orders and 4,338 customers. Identified 1,317 high-value customers contributing 73% of revenue through RFM segmentation. Built 15+ SQL analyses and Power BI reports to identify sales trends and customer opportunities.

  • Python
  • SQL
  • MySQL
  • Power BI
  • Excel

• AI-Powered Business Analytics Assistant

  Built an AI assistant over 524,878 retail transactions to answer business questions using natural language. Automated SQL generation and execution across 20+ sales, customer and product analysis queries. Reduced repetitive analysis effort by approximately 40% through AI-generated insights and recommendations.

  • Python
  • SQL
  • LLM API
  • Power BI

• Customer Churn Prediction and Analytics

  Analyzed 7,043 customers with 1,869 churned customers to identify key retention risk factors. Engineered behavioural features and achieved approximately 87% ROC-AUC using classification models. Segmented customers by churn risk and built a Power BI dashboard for targeted retention decisions.

  • Python
  • Machine Learning
  • Power BI

Education1

• J

  B.Tech

  2022 — 2024

  JNTU-GV

  Information Technology

Certifications4

• Programming Essentials in Python

  Cisco Networking Academy

• Cloud Computing

  NPTEL

• Leadership and Team Effectiveness

  NPTEL

• Salesforce Developer

  Smart Internz