Data-Driven Analyst - SQL, Python, Tableau Expert

Srujana Velpula

Worcester, MA · 508-***-**** · ***********@*****.***

Professional Summary

Detail-oriented Data Analyst with 2 years of experience transforming raw data into actionable insights. Skilled in SQL, Python, and data visualization tools like Tableau and Power BI. Proven ability to support business decisions through data storytelling, dashboard creation, and statistical analysis.

Education

Master of Technology in Computer Science Engineering JNTU University, Hyderabad, India Graduated: May 2016

Key Courses:

Data Structures & Algorithms

Software Engineering

Web Development

Database Management Systems

Operating Systems

Capstone Project: Designed and implemented a full-stack productivity application using React and Java, focusing on task management, user authentication, and responsive UI/UX.

Work Experience

Software Data Analyst Intern Zinovia Technologies Pvt. Ltd. – Hyderabad, India June 2016 – December 2016

Developed interactive dashboards in Tableau to track sales performance across regions, reducing reporting time by 40%.

Automated weekly reporting using Python and SQL, saving 10+ hours per month.

Conducted A/B testing and customer segmentation to improve marketing campaign ROI by 15%.

Collaborated with cross-functional teams to define KPIs and improve data accuracy.

Technical Skills

Category

Tools & Technologies

Programming

Python (Pandas, NumPy, Matplotlib), R

Databases

SQL (PostgreSQL, MySQL), Excel

Visualization

Tableau, Power BI, Looker

Statistical Analysis

Regression, Hypothesis Testing, A/B Testing

Data Wrangling

Data Cleaning, Data Transformation

Other

Git, Google Analytics

Education

Master of Technology in Computer Science Engineering JNTU University, Hyderabad, India Graduated: May 2016

Key Courses:

Data Structures & Algorithms

Software Engineering

Web Development

Database Management Systems

Operating Systems

Capstone Project: Designed and implemented a full-stack productivity application using React and Java, focusing on task management, user authentication, and responsive UI/UX.

Projects

Project Title: Customer Prediction Model

Tools Used: Python, scikit-learn, SQL, Tableau

Objectives:

Predict customer churn with >80% accuracy

Identify top drivers of churn behavior

Approach & Methodology:

Extracted customer data from SQL database

Cleaned and transformed data using Pandas

Built logistic regression and random forest models

Visualized churn risk segments in Tableau

Key Contributions:

Engineered 15+ features including tenure, usage frequency, and support ticket history

Tuned model hyperparameters to achieve 85% accuracy

Presented findings to the marketing team with actionable insights

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