Open to opportunities

Varun B

@varunb

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Motivated Data Science student with hands-on experience in machine learning.

India

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What I'm looking for

I am looking for opportunities in innovative teams where I can apply my data skills, tackle challenging problems, and grow professionally.

I am a motivated and curious Data Science student currently pursuing my B.Tech in Computer Science & Engineering with a specialization in Data Science. My academic journey has equipped me with hands-on experience in machine learning, data visualization, and real-world data projects. I am skilled in Python, SQL, and prompt engineering, focusing on building clean, scalable solutions that can drive impactful data-driven decisions.

Throughout my projects, such as the Walmart Weekly Sales Prediction and the Movie Recommendation System, I have successfully merged datasets, engineered key features, and built robust models using tools like Scikit-learn and Streamlit. My passion for data is complemented by my commitment to continuous learning, as evidenced by my certifications in Data Science and Python programming. I thrive in collaborative environments and am eager to contribute to forward-thinking teams where I can apply my skills and grow through challenging problems.

Experience

Work history, roles, and key accomplishments

Walmart Weekly Sales Prediction Project

Walmart

Developed a Random Forest model to forecast weekly sales, integrating multiple datasets and engineering key features. Successfully deployed the predictive application using Streamlit for user access.

Random Forest Streamlit Python

Movie Recommendation System

Movie Recommendation System Project

Designed and implemented a movie recommendation engine using Scikit-learn, focusing on extracting movie features and computing content similarity. Developed a clean user interface with Streamlit to enhance user experience.

scikit learn Feature Extraction Streamlit UI Development Python

IPL Data Analysis Project

Conducted extensive Exploratory Data Analysis (EDA) on IPL datasets utilizing Pandas and Seaborn to uncover significant trends. Identified top-performing players and key match-winning factors, enhancing data visualization and storytelling skills.

Pandas SeaBorn Data Visualization Data Storytelling Python

Education

Degrees, certifications, and relevant coursework

Lovely Professional University

B.Tech in Computer Science & Engineering, Computer Science & Engineering (Specialization: Data Science)

Currently pursuing a Bachelor of Technology in Computer Science & Engineering with a specialization in Data Science. This program focuses on developing strong foundational knowledge in computer science principles and advanced skills in data analysis, machine learning, and data-driven problem-solving.

SMV Model HSS

Intermediate (Class 12), General Studies

Grade: 88%

Completed intermediate education (Class 12) with a focus on core academic subjects. Achieved a strong academic performance, demonstrating a solid foundation in various disciplines.

Technical High School

Matriculation (Class 10), General Studies

Grade: 95%

Completed matriculation (Class 10) with a high academic standing. This foundational education provided a comprehensive understanding of essential subjects.