BEEDHA RAJESH

Data Analyst
524121, Nellore, India.

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

AICTE (in collaboration with Eduskills Foundation)
|

Data Analytics Virtual Intern

Remote, N/A, India

Summary

Led data analytics projects, gaining hands-on experience in data cleaning, transformation, and visualization, culminating in a capstone project.

Highlights

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
Tirupati, Andhra Pradesh, India

M.Tech

Artificial Intelligence and Data Science

GITAM UNIVERSITY BENGALURU
Bengaluru, Karnataka, India

B.Tech

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

Summary

Developed a content-based movie recommendation system leveraging machine learning and NLP techniques to provide personalized suggestions.