# BEEDHA RAJESH - Data Analyst
Source: https://hello.cv/beedharajesh
Nellore

## Links
- LinkedIn | https://linkedin.com/in/beedha-rajesh-280951206

## About
A proactive Data Analyst with a strong foundation in data manipulation, statistical analysis, and visualization, proficient in Python, SQL, Excel, Power BI, and Tableau. Successfully completed a Data Analytics Virtual Internship, where I gained hands-on experience in ETL processes and developed impactful dashboards. Eager to leverage robust analytical and technical skills to extract actionable insights, drive data-driven decision-making, and contribute to organizational growth in a dynamic data-focused environment.

## Work
### Data Analytics Virtual Intern | AICTE (in collaboration with Eduskills Foundation)
Led data analytics projects, gaining hands-on experience in data cleaning, transformation, and visualization, culminating in a capstone project.
- Leveraged Excel, SQL, Python, and Power BI to conduct comprehensive data analysis, supporting data-driven insights for business scenarios.
- Executed end-to-end data cleaning, transformation, and visualization on diverse real-world datasets, ensuring data integrity and readiness for analysis.
- Applied statistical analysis techniques to interpret complex datasets, directly informing data-driven decisions and strategic recommendations for business scenarios.
- Designed and presented a comprehensive capstone project, developing an interactive dashboard using Power BI/Tableau that effectively visualized key business metrics.

## Education
### MOHAN BABU UNIVERSITY TIRUPATI | Artificial Intelligence and Data Science
### GITAM UNIVERSITY BENGALURU | Computer Science and Engineering

## Skills
### Data Analysis & Visualization
- Excel (Data Cleaning, Pivot Tables, VLOOKUP, Charts)
- Power BI
- Tableau
- Data Visualization
- Dashboarding
- Statistical Analysis
### Programming & Databases
- Python
- SQL
- Pandas
- Scikit-learn
- Natural Language Processing (NLP)
### Data Management & ETL
- Data Wrangling
- Data Normalization
- Merging & Joining Datasets
- ETL Processes

## Projects
### Movie Recommendation System using Machine Learning
Developed a content-based movie recommendation system leveraging machine learning and NLP techniques to provide personalized suggestions.

## Source
Read this profile on Hello.cv: https://hello.cv/beedharajesh
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