sambu vaishnavi

Hyderabad 1+ yrs exp 73 · Very Good

About

Computer Science Engineering graduate with experience in data analytics, ETL development, and business intelligence using SQL, Python, Excel, Power BI, and Tableau. Proficient in data cleaning, statistical analysis, dashboard development, and SQL-based reporting, with a strong foundation in relational databases and data visualization.

Skills & Expertise (35)

SQL Intermediate

5.5/10

Years Exp

Advanced Excel Intermediate

5.5/10

Years Exp

Data Cleaning Intermediate

5.5/10

Years Exp

Data Transformation Intermediate

5.5/10

Years Exp

Python Intermediate

5.5/10

Years Exp

Data Visualization Intermediate

5.5/10

Years Exp

Tableau Intermediate

5.0/10

Years Exp

Power BI Intermediate

5.0/10

Years Exp

Jupyter Notebook Intermediate

5.0/10

Years Exp

Git Intermediate

4.5/10

Years Exp

ETL Intermediate

4.5/10

Years Exp

GitHub Relational Database Design VS Code SQL Server Postgresql MySql Sampling Confidence Intervals Hypothesis Testing Probability Regression Analysis correlation analysis Descriptive Statistics Conditional Formatting Charts Index-match XLOOKUP Power Query Pivot Tables Seaborn Matplotlib Business Reporting Statistical Analysis Exploratory data analysis

Work Experience

Software Engineering Intern

Automac Technologies

Mar 2024 - Sep 2024

Developed and maintained Python-based automation applications and performed debugging and testing to improve system reliability and operational performance. Gathered user requirements and translated them into technical implementation plans, contributing to scalable and maintainable application solutions. Collaborated with the team to enhance system functionality while supporting secure, efficient operations.

Business Analyst Intern

Innovapte

Mar 2023 - Dec 2023

Managed and analyzed CRM datasets by performing data cleaning, validation, and deduplication to maintain high-quality structured business data. Generated analytical reports on lead conversion, engagement metrics, and campaign performance using structured datasets and Excel-based analysis. Organized and structured business data for webinars, demos, and marketing activities, enabling data-driven tracking of sales pipeline and customer interactions.