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Sarvesh Dhapte

@sarveshdhapte

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Detail-oriented Data Science graduate and Computer Engineer

United Kingdom

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What I'm looking for

Seeking a challenging role that leverages my data analysis and machine learning skills to drive business insights and growth.

As a detail-oriented Data Science graduate and Computer Engineer, I possess a strong foundation in machine learning, data analysis, and software engineering. With a proven track record of developing advanced AI models and delivering impactful data-driven solutions, I am committed to lifelong learning and continuous development.

My expertise spans multiple areas, including data analysis, machine learning, and software engineering. I have a collaborative approach to solving complex problems, leading cross-functional teams, and managing large datasets to drive strategic decisions and business insights.

With a strong educational background in Computer Science and Engineering and Data Science, I have honed my skills through various projects and internships. I am proficient in a range of programming languages, including Python, SQL, and C++, and have experience with various tools and technologies, such as TensorFlow, Keras, PyTorch, and Hadoop.

Experience

Work history, roles, and key accomplishments

Bar Staff & Safety Steward

Hap Solutions

Jan 2024 - Apr 2024 (3 months)

In my role as Bar Staff & Safety Steward, I provided exceptional customer service at events, managed crowd control, and ensured smooth operations. I handled cash transactions accurately and collaborated with team members to resolve issues, enhancing the attendee experience.

Customer Service Teamwork Cash Management Event Coordination Problem Solving Communication Operations

Machine Learning Engineer Intern

Capgemini Technology Service Limited

Sep 2022 - Dec 2022 (3 months)

As a Machine Learning Engineer Intern, I developed a Computer Vision Test Automation framework using Streamlit, enhancing model validation processes. I implemented YOLO models for object detection and engineered image processing pipelines, improving testing capabilities and model performance monitoring.