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Krishna User

@krishnauser9

Data science professional experienced in machine learning, big data, and cloud platforms.

United Kingdom
Message

What I'm looking for

I am seeking data science or ML roles where I can apply machine learning, big data, and cloud skills to build scalable, secure, high-impact solutions and grow into technical leadership.

I am a data science professional with over five years of experience in machine learning, data analysis, and big data technologies, with an MSc in Big Data & Data Science from Northumbria University, London. I have led projects that improved system performance by 25% and have hands-on experience with Python, SQL, Linux, AWS, Azure, Databricks, and CI/CD methodologies.

I have built end-to-end solutions including a CCTV crime detection computer vision pipeline using OpenCV, YOLOv5 and TensorFlow, and performed web application penetration testing uncovering 100+ security risks. I combine strong problem-solving skills with practical experience in model optimization, cloud deployment, and secure software practices to deliver impactful, data-driven solutions.

Experience

Work history, roles, and key accomplishments

IP

Computer Vision Engineer

Independent Project

Aug 2022 - Dec 2022 (4 months)

Designed and implemented an end-to-end CCTV crime detection pipeline using YOLOv5 and CNNs, optimizing training and inference via data augmentation, model pruning, and efficient frame sampling.

Education

Degrees, certifications, and relevant coursework

Northumbria University logoNU

Northumbria University

Master of Science, Big Data and Data Science

2024 - 2025

Completed an MSc in Big Data and Data Science, focusing on machine learning, big data technologies, and cloud platforms.

AK

Aditya College of Engineering Kakinada

Bachelor of Technology, Electronics and Communication Engineering

2019 - 2022

Completed a Bachelor of Technology in Electronics and Communication Engineering with coursework in electronics and signal processing.

Tech stack

Software and tools used professionally

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