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)

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Data Analytics Virtual Intern

Remote, N/A, India

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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
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M.Tech Artificial Intelligence and Data Science

GITAM UNIVERSITY BENGALURU

Bengaluru, Karnataka, India
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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

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Summary

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