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CHRIS P SAMCS
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CHRIS P SAM

@chrispsam

I build Python-based data analysis and machine learning solutions for real-world problems.

India
Message

What I'm looking for

I'm looking to apply Python, data analysis, and machine learning skills to real-world problems while contributing to innovative, efficient software solutions.

I've worked at Luminar Technolab on Python-based data analysis and machine learning applications, using NumPy, Pandas, and Scikit-learn for preprocessing, analysis, classification, and prediction.

I also completed a Python and data analysis internship at Keltron Knowledge Centre. My projects include a computer-vision virtual piano using Python, OpenCV, MediaPipe, and Pygame, plus an automated robotic arm system that collects and segregates floating waste from water bodies using sensors, servo motors, and microcontroller-based controls.

Experience

Work history, roles, and key accomplishments

LT

Data Science Intern

Luminar Technolab

Jul 2025 - Apr 2026 (9 months)

Working with Python for data analysis and machine learning applications. Using NumPy and Pandas for data preprocessing, manipulation, and analysis, and developing machine learning models using Scikit-learn.

KC

Python Intern

Keltron Knowledge Centre

Sep 2023 - Sep 2023 (0 months)

Completed internship focusing on Python programming and data analysis. Worked with NumPy and Pandas for data manipulation and analysis.

Education

Degrees, certifications, and relevant coursework

LT

Luminar Technolab

Internship, Data Science

2025 -

Data Science Intern focusing on Python for data analysis and machine learning applications, including data preprocessing and model development.

PE

Providence College of Engineering

Bachelor of Technology, Computer Science and Engineering

2021 - 2025

Pursued a B.Tech in Computer Science and Engineering, building a strong foundation in Python, SQL, and machine learning.

KC

Keltron Knowledge Centre

Internship, Computer Science

2023 - 2023

Completed a Python internship focusing on programming and data analysis using NumPy and Pandas.

Tech stack

Software and tools used professionally

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