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SPACE_BOY UserSU
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SPACE_BOY User

@space_boyuser

I build Python machine learning applications for computer vision and health prediction.

India
Message

What I'm looking for

I'm seeking a fresher role in data science or machine learning where I can apply and grow my Python, machine learning, and cloud skills in a real-world production environment.

I've built Python-based machine learning applications for face recognition and finger-posture classification, training models on custom image datasets to identify multiple people and gesture classes.

In Predictive Pulse, a four-member college project, I helped develop an AI-driven hypertension prediction platform using wearable data such as heart rate, step count, and sleep duration. The team evaluated Logistic Regression, KNN, Random Forest, XGBoost, and SVM models and achieved 99.9% accuracy on the evaluation dataset.

I owned the technical documentation and jury presentation, turning model results into a clear story for a non-technical panel.

I'm completing a B.Tech in Artificial Intelligence at VIT-AP University and bring foundations in Python, SQL, AWS, Azure, machine learning, generative AI, and large language models.

Experience

Work history, roles, and key accomplishments

GU

Face Recognition Application

GUVI

Jan 2023 - Dec 2023 (11 months)

Built a Python-based application to detect and identify faces of multiple individuals using a trained recognition model. Trained the model on a custom database of facial images to enable multi-person detection.

GU

Finger Posture Recognition Application

GUVI

Jan 2023 - Dec 2023 (11 months)

Developed a Python application to classify hand gestures (e.g., bird, cat, butterfly shapes) formed by human fingers. Applied image-processing and pattern-recognition techniques to distinguish between multiple gesture classes.

VU

Predictive Pulse — AI-Driven Hypertension Prediction Platform

VIT-AP University

Contributed to a 4-member team project that used wearable-device data to predict hypertension risk with models including Logistic Regression, KNN, Random Forest, XGBoost, and SVM, achieving 99.9% accuracy. Owned technical documentation and presentation, and collaborated with the modeling sub-team to translate technical results for a non-technical panel.

Education

Degrees, certifications, and relevant coursework

VIT-AP University logoVU

VIT-AP University

Bachelor of Technology, Artificial Intelligence

2022 -

Grade: 7.22 CGPA

Pursuing a Bachelor of Technology in Artificial Intelligence, with a focus on machine learning and data science.

Tech stack

Software and tools used professionally

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