Open to opportunities

kaushik s

@kaushiks

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Data scientist focusing on ML, cloud deployment, and data-driven business insights.

India

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What I'm looking for

I seek roles building end-to-end ML and data solutions in collaborative teams, with opportunities to deploy models to production and grow cloud and research skills.

I am a data scientist with hands-on experience in machine learning, data engineering, and cloud deployment. I have built production-ready ML pipelines on AWS SageMaker, implemented web-scraping for data collection, and contributed to deep-learning projects including face verification and medical image classification.

My projects span end-to-end solutions: flight price prediction with SageMaker, a Power BI Diversity & Inclusion dashboard, quantum-assisted pneumonia detection, sentiment analysis in R, and operational analytics with advanced SQL. I combine strong technical skills in Python, SQL, and cloud tools with practical experience in model deployment and visualization.

I am driven to deliver actionable insights and scalable ML systems that solve real business problems, and I value clear communication and measurable impact in cross-functional teams.

Experience

Work history, roles, and key accomplishments

Current

Data Science Intern

Current

Evoastra Ventures Pvt. Ltd.

Jun 2025 - Present (4 months)

Built a web-scraping pipeline to extract car details and contributed to a face verification system using deep learning, improving data collection and model capabilities for product features.

Python BeautifulSoup Deep Learning AWS Sagemaker SQL data preprocessing

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology

Bachelor of Technology, Electronics and Computer Engineering

2022 -

Grade: 8.48 CGPA

Activities and societies: Relevant coursework and projects in ML/AI, data visualization, cloud (AWS), and internships; certifications in Linux, SQL, TensorFlow, and Power BI.

Pursuing a Bachelor of Technology in Electronics and Computer Engineering with coursework and projects focused on machine learning, data analysis, and cloud deployment.