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@varun_b
Motivated Data Science student with hands-on experience in machine learning.
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.
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Work history, roles, and key accomplishments
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.
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.
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.
Degrees, certifications, and relevant coursework
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.
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.
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.
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