KURAKULA MADHUSUDHAN

Detail-oriented 4th-year Computer Science Engineering student with a specialization in Data Science, seeking a full-semester internship to apply academic knowledge in real-world projects. Passionate about learning, innovation, and gaining hands-on industry experience with the goal of transitioning into a full-time role.

To obtain a position where I can maximise my abilities and contribute to the growth of the firm.

• Introduction To MongoDB For Students | Issued on 2024-12
• Credential ID: MDBndgad75tq
• Issued by: MongoDB University
• Data Representation and Visualization in Tableau,
• RITx (Rochester Institution of Technology), 2024-05-01
• Python Programming Complete Beginners Course Bootcamp 2025 | Issued on 2025-05

Photography , Travelling , Learning New Languages , Workouts , Listening to Music

• Participated in The Future of AI provided by CodeCraft
• Participated in School Level Debate Competition organized by Kendriya Vidyalaya School, Chennai
• Volunteered for a workshop conducted on industrial training on Android
• An active member of Developers Club

Fitness Accessories Data Analysis – Data Analysis Project |January 2025 – February 2025|

Description:Worked on a data analysis project to analyze gym and fitness accessories inventory data. Performed data cleaning and preprocessing, calculated total inventory value, and analyzed stock availability. Conducted exploratory data analysis (EDA) and created visualizations to understand quantity distribution across different product categories and stock status.

Technologies Used: Python, Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn

GitHub: https://github.com/madhukurakula/Fitness-Accessories-Analysis.

Australian Vehicle Prices Analysis – Website Data Analysis Project |February 2025 – March 2025|
Description: Worked on a data analysis project using Australian vehicle pricing data sourced from a public car-listing website dataset. Analyzed website-style listings to study price trends across brands, fuel types, and vehicle specifications. Performed data cleaning, filtering, and aggregation, and applied exploratory data analysis (EDA) with multiple visualizations to identify factors influencing vehicle prices in the online automobile market.
Technologies Used: Python, Google Colab, Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn
GitHub: https://github.com/madhukurakula/Australian-cars-Prices-Analysis

Laptop Price Analysis Project - Data Analaysis Project|March 2025 – April 2025

Description: Developed a machine learning model to predict laptop prices based on specifications such as brand, processor type, RAM, storage, GPU, and screen resolution. Performed data preprocessing, feature engineering, and exploratory data analysis using Pandas, NumPy, and Seaborn. Trained and evaluated regression models (Linear Regression, Random Forest) using Scikit-learn, achieving accurate price predictions. Visualized key insights and model performance in Google Colab.

Technologies used: Google Colab, Python, Pandas, NumPy, Matplotlib, Seaborn, CSV/Excel files

GitHub: https://github.com/madhukurakula/Laptop-price-prediction 

• Participated in a 2-day hand-on workshop on Data Science, Machine Learning & AI. | 2024-12
• Participated in a 3-day hands-on workshop on Robotic Process Automation. | 2024-07

• AIML DEVELOPMENT- AIML TECHNOLOGIES | June 2024 – July 2024
• Organization: Demi Software Solutions
• This internship experience has provided with valuable exposure to AIML technologies, enhancing skills in AIML development.
• DATA ANALYTICS USING PYTHON – APSSDC | April 2025 – June 2025
• Organization: APSSDC
• This internship experience has taught me to handle real-world data, clean and analyze it using Python libraries, and present insights with simple visualizations