Tejaswi Puli

Data Analyst

Hyderabad, Telangana, India 85 · Excellent

About

Computer Science graduate (B.Tech, May 2026, CGPA 8.7) with hands-on experience across Excel, SQL, Python, Power BI, and foundational statistics. Delivered an end-to-end customer churn analytics project spanning SQL Server, Power BI, and a Random Forest prediction model, a Blinkit sales performance analysis combining SQL, Excel, and Python data preparation with Power BI dashboarding, and a healthcare analytics dashboard covering the full BI lifecycle. Comfortable with data cleaning and wrangling, ETL, and business intelligence reporting, with working knowledge of R and AWS basics. Completed the Deloitte Data Analytics Job Simulation and Anthropic's AI Fluency: Framework & Foundations course, reinforcing both structured, stakeholder-ready analysis and effective, responsible use of AI tools in day-to-day work. Comfortable managing ambiguity, working in agile environments, and delivering data-driven recommendations that support fact-based decision-making.

Skills & Expertise (36)

SQL Advanced

8.1/10

Years Exp

Business Intelligence Advanced

8.0/10

Years Exp

Power BI Advanced

8.0/10

Years Exp

Data Visualization Advanced

8.0/10

Years Exp

Predictive Modelling Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Data Wrangling Intermediate

7.0/10

Years Exp

ETL Intermediate

7.0/10

Years Exp

DAX Intermediate

6.5/10

Years Exp

AWS Basics Beginner

5.0/10

Years Exp

AI-Assisted Analysis Communication Requirement gathering Root Cause Analysis Random Forest Cross-Functional Collaboration Basic Statistical Analysis Agile Scrum Reporting MS Excel KPI Tracking Dashboard Development Java scikit-learn NumPy Pandas SQL Server MySql Google Sheets Formulas Power Query VLOOKUP XLOOKUP Pivot Tables

Work Experience

Data Analyst

Customer Churn Analysis and Prediction

Present - Present

Built an end-to-end customer churn analytics solution covering SQL Server data cleaning and transformation, Power BI dashboard development, and a Random Forest prediction model in Python. Consolidated and validated customer data from multiple sources using SQL, cross-checking values and formats to ensure accuracy before analysis. Performed root-cause analysis on customer demographics and behavioral data to identify the key drivers of churn and surface actionable business trends. Trained and evaluated a Random Forest classification model in Python (Pandas, Scikit-learn) to predict customers likely to churn, enabling proactive, data-driven retention decisions. Published a live interactive Power BI report (Summary, Churn Reason, and Prediction views) translating raw data into clear business insights and recommendations.

Data Analyst

Blinkit Sales Performance Analysis

Present - Present

Built an end-to-end Blinkit sales analysis project covering SQL-based data extraction, Excel and Python data preparation, and Power BI dashboard development. Defined and tracked core KPIs — Total Sales, Average Sales, Number of Items, and Average Rating — to evaluate sales performance and customer satisfaction. Analyzed inventory distribution and sales trends across item types and outlets, translating findings into an interactive Power BI dashboard to surface optimization opportunities.

Data Analyst

End-to-End Healthcare Dashboard Development

Present - Present

Delivered a complete healthcare analytics dashboard by documenting each stage of the workflow — requirement gathering, data collection, transformation and modelling, visualization design, and publishing — for clear, repeatable reference. Applied data modelling best practices to structure raw healthcare data into a clean, query-ready schema for reliable reporting. Designed an intuitive, stakeholder-friendly layout with drill-down navigation, improving accessibility of key healthcare metrics.