Data Analytics & Operations

Surya
Madhavi

I work at the intersection of data analytics and operations — turning messy datasets, recurring workflows, and business questions into clear reports, dashboards, and decisions.

Portrait of Surya Madhavi

About

Detail-oriented analyst focused on data cleaning, performance reporting, and operations that help teams decide with less manual effort.

I enjoy building practical analytics systems — clean datasets, reliable SQL, validation scripts, KPI dashboards, and reporting workflows that turn data into something a team can actually act on.

Work

Data Operations Associate · Plum Insurance Benefits

Cleaned large datasets (50K–200K+ records), optimized SQL queries, built Power BI dashboards for SLA and delivery metrics, automated recurring reports, and wrote Python validation scripts to improve data quality.

Customer Success · Plum

Supported operational and customer-facing workflows with a focus on accuracy, reporting, and execution.

Projects

Customer Churn Analysis

Analyzed 70K+ telecom records and built ML models (~88% accuracy) to uncover churn drivers and support retention.

  • Python
  • Scikit-learn
  • Pandas

E-Commerce Sales Dashboard

A 5-page Power BI dashboard connected to MySQL with DAX metrics for month-over-month and year-over-year analysis.

  • Power BI
  • SQL
  • DAX

COVID-19 India Analysis

Processed 3M+ public health records into interactive state-wise views of infections, vaccinations, and mortality trends.

  • Python
  • Pandas
  • Plotly

HR Attrition Analysis

A multi-view Tableau dashboard highlighting attrition risk by department, tenure, and compensation.

  • Tableau
  • SQL
  • EDA

Skills

Python, SQL, Power BI, Excel, Tableau, Looker Studio, BigQuery, and Git.

Analysis

Data cleaning, EDA, statistical analysis, data modeling, and A/B testing.

Operations

KPI reporting, SLA tracking, workflow automation, and stakeholder-ready dashboards.

Contact

Open to thoughtful analytics, reporting, and operations-focused work.