Vaishnavi Chedudhupu

Data Analyst

Hyderabad, India 0+ yrs exp 81 · Excellent

About

Data Analyst with hands-on experience in SQL, Power BI (DAX, Power Query), Python (Pandas, NumPy), and Excel, building end-to-end BI dashboards and data pipelines on datasets up to 30,000+ records. Skilled in data cleaning, data wrangling, exploratory data analysis, KPI reporting, and dashboard design that convert raw data into stakeholder-ready insights and support data-driven decision-making. Strong foundation in ETL fundamentals, data validation, statistical analysis, and business intelligence reporting, with visualization toolkit expanding to include Tableau.

Skills & Expertise (30)

Seaborn Intermediate

5.5/10

Years Exp

Jupyter Notebook Intermediate

5.5/10

Years Exp

GitHub Intermediate

5.5/10

Years Exp

Git Intermediate

5.5/10

Years Exp

MongoDb Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

Index-match Intermediate

5.5/10

Years Exp

XLOOKUP Intermediate

5.5/10

Years Exp

Pivot Tables Intermediate

5.5/10

Years Exp

Excel Intermediate

5.5/10

Years Exp

ETL Fundamentals Intermediate

5.5/10

Years Exp

Statistical Analysis Intermediate

5.5/10

Years Exp

Risk scoring Intermediate

5.5/10

Years Exp

KPI Design Intermediate

5.5/10

Years Exp

Performance Metrics Intermediate

5.5/10

Years Exp

SQL Intermediate

5.5/10

Years Exp

Matplotlib Intermediate

5.5/10

Years Exp

Business Intelligence Intermediate

5.5/10

Years Exp

KPI Reporting Intermediate

5.5/10

Years Exp

Dashboard Design Intermediate

5.5/10

Years Exp

Power Query Intermediate

5.5/10

Years Exp

DAX Intermediate

5.5/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

Data Validation Intermediate

5.5/10

Years Exp

Data Wrangling Intermediate

5.5/10

Years Exp

Data Cleaning Intermediate

5.5/10

Years Exp

NumPy Intermediate

5.5/10

Years Exp

Pandas Intermediate

5.5/10

Years Exp

Python Intermediate

5.5/10

Years Exp

EDA

Work Experience

Trainee

Infosys Pragati Cohort 4.0

Jan 2025 - Apr 2025

Analyzed business case datasets to identify trends and generate data-driven performance recommendations, applying statistical and analytical problem-solving methods. Built dashboard-style analytical reports and presented findings in peer-review sessions, strengthening cross-functional communication and collaborative analysis skills. Contributed to team-based case study reviews, incorporating peer and mentor feedback to refine analytical approach and improve recommendation accuracy.

Data Engineering & Analytics Intern

Data Cloud Solutions

May 2024 - Aug 2024

Cleaned and preprocessed multi-source datasets using Python (Pandas, NumPy), resolving data quality issues to ensure analysis-ready deliverables. Validated data accuracy and consistency across systems, partnering with senior developers through agile SDLC stages to support reliable downstream reporting. Documented data cleaning and preprocessing workflows to support repeatability and knowledge transfer across the analytics team.