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Muhammed Rasin

@muhammedrasin

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Software Engineer passionate about data engineering, AI and machine learning.

India

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What I'm looking for

I am looking for a dynamic role that fosters innovation and growth, where I can leverage my skills in data engineering, AI and machine learning to contribute to impactful projects.

I am a Software Engineer with a strong foundation in data engineering and data science, driven by a passion for machine learning and AI. My hands-on experience includes developing data-driven applications using Python, SQL, and cloud technologies such as Databricks and Azure. I have successfully contributed to projects that enhance data accuracy and streamline processes, demonstrating my ability to leverage technology for impactful solutions.

Throughout my career, I have developed a diverse skill set that includes full-stack development with React.js and Node.js, as well as expertise in machine learning model development. My academic background in Computer Science and Engineering, coupled with practical experience in data pipeline development and web scraping, has equipped me to tackle complex challenges in the tech landscape. I am eager to apply my skills in a role that allows me to work with cutting-edge technologies and contribute to innovative projects.

Experience

Work history, roles, and key accomplishments

Software Engineer

JMAN Group

Jul 2024 - Feb 2025 (7 months)

Contributed to data engineering projects involving entity resolution and Single Customer View (SCV) development using Splink in Databricks. Enhanced customer data accuracy by 50% and reduced manual classification effort by 80% through web scraping and LLM models. Developed a data-driven business model using synthetic data to identify new market segments etc.

Python Databricks SQL Azure Data Factory DBT Snowflake Machine Learning Web Scraping

Education

Degrees, certifications, and relevant coursework

Mar Athanasius College of Engineering

B. Tech, Computer Science and Engineering

2020 - 2024

Grade: CGPA: 8.52

Studied Computer Science and Engineering with a focus on Data Science. Relevant coursework included Machine Learning Concepts, Data Analytics, Big Data Processing, Cloud Computing, Programming in R, and Deep Learning.