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Goutham Reddy

@gouthamreddy1

Entry-level computer science student building machine learning and data-driven products with Python, deep learning, and web development.

India

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What I'm looking for

I’m looking for an entry-level role where I can build and improve machine learning and data products, learn fast with a collaborative team, and contribute through hands-on research, strong technical execution, and clear communication.

I’m a Computer Science Engineering student focused on applying Python-driven machine learning, deep learning, and data analysis to real problems. I’ve researched comparative CNN performance for image classification using ResNet50, VGG16, and InceptionV3, and I’m actively developing medical image segmentation models with U-Net and DeepLabV3.

I also build end-to-end projects—like a CNN-based hand gesture recognition system using TensorFlow, OpenCV, and clear evaluation metrics (Precision, Recall, F1-Score), and a React.js food donation platform that uses location-based matching to reduce food wastage. Through hackathons and team projects, I’ve led multidisciplinary work and delivered technical presentations, earning Top 100 Teams at Capgemini Agentify Buildathon and Top 10 at a national-level hackathon.

Experience

Work history, roles, and key accomplishments

Deloitte Data Analytics Simulation

Deloitte

Completed Deloitte Data Analytics and Data Labeling job simulations with Forage, applying analytics and data preparation concepts through guided tasks.

Data Analytics Data Labeling Python SQL Pandas NumPy Data Preparation Data Visualization

Capgemini Buildathon Team

Capgemini

Ranked among the Top 100 Teams in the Capgemini Agentify Buildathon. Worked collaboratively within a team setting to develop and present solutions.

Team Collaboration Rapid Prototyping Python Machine Learning Deep Learning Data Analysis Git

Education

Degrees, certifications, and relevant coursework

CMR College of Engineering and Technology

Bachelor of Technology (B.Tech), Computer Science Engineering

2023 - 2027

Grade: 7.4 (CGPA)

Activities and societies: Research publications: comparative chilli image classification using ResNet50/VGG16/InceptionV3 (published). Research (under review): medical polyp segmentation using U-Net and DeepLabV3.

Pursuing a B.Tech in Computer Science Engineering at CMR College of Engineering and Technology (Sep 2023–Jun 2027). Conducted research on comparative CNN models for chilli image classification and developed U-Net/DeepLabV3-based medical polyp segmentation.