Data Analyst Computer Science

Vamshi Pentam

Baton Rouge, Louisiana

+1-225-***-**** *************@*****.***

Summary

Data Analyst with proven experience in Python-based analysis and SQL-driven data workflows. Demonstrated ability in creating

dashboards, automating data processing, and developing clear visualizations for technical and non-technical audiences. Holds a Master's

in Computer Science and collaborates effectively to support data-driven transportation solutions.

Education

Southern University and A&M College Dec 2024

Masters, Computer Science

• GPA: 3.75

Work Experience

INFOSYS Mar 22 - Dec 2022

Data analyst Hyderabad, India

• Performed in-depth data analysis using Python and MySQL to support business insights and decision-making, aligning with scalable

data pipeline design.

• Developed and maintained SQL queries to retrieve, clean, and transform data from relational databases while preparing for future data

needs.

• Applied statistical methods to interpret results and guide business strategies, contributing to prototype algorithms and models.

• Built interactive reports and dashboards to visualize trends for both technical and non-technical audiences using clear data visualiza

tions.

• Enhanced collaboration and communication skills through regular presentations and client interactions, supporting cross-functional

deployments.

• Analyzed web analytics with Python and Pandas, reinforcing skills in handling high-volume data streams and geospatial data analysis.

southern university A&M Jun 2023

Graduate Research Assistant Baton Rouge, Louisianna

• Assisted in research projects involving large datasets by performing data cleaning, preprocessing, and transformation using Python,

Pandas, and NumPy, adhering to robust data pipeline practices.

• Created automated scripts to identify and handle missing, duplicate, or inconsistent data across various sources in anticipation of future

data requirements.

• Conducted data manipulation and aggregation to support faculty research and data-driven decision-making, paving the way for the

development of production-ready code.

• Developed data visualizations using Matplotlib and Seaborn to summarize insights and trends, ensuring accessibility to both technical

and non-technical stakeholders.

• Contributed to improving reproducibility and efficiency of data workflows through modular, documented Python code, reinforcing

clarity and robustness in data documentation.

Technical Skills

• Framework and Tools: Spring Boot, Django, SQL

• Programming Languages: Python, Java, SQL, JavaScript, HTML, CSS, Angular

• Libraries: Pandas, Numpy

• Concepts: OOP, Data Structures, System Design, OS Internals, Performance Optimization

• Databases: MySQL

• Cloud/Platforms: AWS, Docker

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