Naveen Kumar Challa
***********.******@***.*** // 314-***-**** // LinkedIn
Summary
A recent Master's graduate with expertise in data analysis, proficient in Python, Tableau, and Power BI. Experienced in using Python (Pandas, NumPy, Matplotlib) for data manipulation, statistical analysis, and visualization, as well as designing interactive dashboards with Tableau and Power BI to drive business insights. Skilled in transforming raw data into meaningful insights through data wrangling, cleaning, and visualization. Seeking a data analyst role to apply strong analytical, technical, and problem-solving skills to help organizations make data-driven decisions and achieve their goals.
Education
Saint Louis University, St. Louis, MO May 2025
Masters in Information Systems
Skills
Technical skills: Python, SQL
Tools: Power Bi, Tableau
Libraries: NumPy, Pandas, Matplotlib, SciPy.
Management tools: Jira, Trello, etc.
Work Experience
Shiash Info Solutions Private Limited, Chennai, India Sep 2022 -Dec 2022
Software Developer Intern
Utilized Python, NumPy, Pandas, and SciPy for data analysis and modelling
Worked on Matplotlib, NumPy, Scifi and Panda’s libraries from Python language.
Analyzed data using Python, SQL, and relevant libraries.
Developed and maintained websites using HTML and CSS.
Wrote and maintained code in Python for software applications.
Managed and optimized databases using SQL and also used Aws.
Given seminars on software development using Django and Flask.
Project Overview:
This project focuses on analyzing the sales performance of a retail company over the past three years. The goal was to identify key trends, understand the factors influencing sales, and provide actionable insights for improving business performance. The project was completed using Python for data manipulation and analysis, and Power BI for creating interactive dashboards and visualizing insights.
Tools and Technologies Used:
Python (Pandas, NumPy, Matplotlib, Seaborn)
Power BI
SQL (for data extraction, if applicable)
Data Source:
A dataset containing transactional sales data (e.g., sales by region, product, and time) from a company's database. The dataset includes fields like:
oDate of Sale
oProduct ID
oSales Region
oSales Amount
oUnits Sold
oCustomer Demographics (optional)