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Geethika-98-ana/README.md

Hi, I’m Geethika πŸ‘‹

I’m a Business Analyst / Customer Experience Analyst & Data Analytics with 6+ years of experience using data, analytics, and business analysis to drive operational excellence, customer outcomes, and business growth.

I specialize in SQL, Power BI, Python, and advanced analytics, with strong experience translating complex business requirements into actionable insights for stakeholders across product, operations, leadership, and technology teams.


πŸ” Professional Focus

  • Building Power BI dashboards to track KPIs, OKRs, revenue, customer performance, and adoption metrics
  • Performing advanced data analysis using SQL and Python to identify trends, risks, and opportunities
  • Driving process optimization and automation initiatives with measurable ROI
  • Supporting data-driven decision-making through clear insights and executive-ready reporting
  • Working closely with cross-functional stakeholders using Agile methodologies

🧰 Skills & Tools

Data & Analytics

  • SQL (joins, aggregations, performance analysis)
  • Power BI (data modeling, DAX, interactive dashboards)
  • Python (Pandas, NumPy, Scikit-learn)
  • Excel (Pivot Tables, VBA)

Business Analysis

  • Requirements elicitation & documentation (BRD, PDD)
  • KPI & OKR tracking
  • Process improvement & gap analysis
  • Stakeholder management
  • UAT coordination

Methodologies & Frameworks

  • Agile / Scrum
  • Six Sigma
  • PMO & RAID management

πŸ“Š Featured Projects

πŸ“Œ Customer Experience & Revenue Analytics

Built dashboards and reports to track CSAT, NPS, revenue retention, and customer health, enabling leadership to identify improvement opportunities and drive growth.

πŸ“Œ Telecom Customer Segmentation (UK)

Developed an ML-based customer segmentation model analyzing 500K+ records to:

  • Increase customer retention by 12%
  • Improve engagement by 20%
  • Enable targeted marketing and personalization strategies

πŸ“Œ Process Automation & ROI Analysis

Supported RPA initiatives across manufacturing and logistics domains, reducing manual effort by 30% and achieving 150% ROI through KPI tracking and performance measurement.

πŸ“Œ Innovation Pipeline Analytics – NHS (UK)

Led analytics and reporting for an innovation pipeline platform supporting 50+ digital health initiatives, improving governance, impact tracking, and compliance.

🎯 Areas of Interest

  • Business & Sales Analytics
  • Data analytics
  • Business intelligence analysis
  • Customer Experience Analytics
  • Strategy & Operations
  • Process Improvement & Digital Transformation
  • Data-driven decision

πŸ“« Connect With Me

Thanks for visiting my GitHub profile!

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