Movie Recommender System
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Summary
Developed a dynamic Movie Recommender System that provides personalized movie suggestions and detailed film information based on user search patterns and preferences.
Highly analytical Computer Science Engineering student with a strong foundation in data analysis, skilled in leveraging Python, SQL, Excel, and Tableau to derive actionable insights from complex datasets. Proven ability to tackle real-world challenges through class projects, including comprehensive data cleaning, visualization, and predictive modeling. Eager to apply robust technical skills and a collaborative mindset to contribute to data-driven decision-making within a dynamic team environment.
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Bachelor of Engineering
Computer Science & Engineering
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Senior Secondary (XII)
Grade: 67.00%
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Secondary (X)
Grade: 78.00%
Issued By
SNPIT&RC
Issued By
AlforTechies, Virtual
Python, SQL, HTML, CSS.
Excel, Tableau, Data Cleaning, Data Visualization, Data Modeling, Feature Engineering, Predictive Modeling.
Teamwork, Communication, Adaptability, Problem Solving.
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Summary
Developed a dynamic Movie Recommender System that provides personalized movie suggestions and detailed film information based on user search patterns and preferences.
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Summary
Engineered a comprehensive data analysis system for Airbnb listings, focusing on price normalization, missing value imputation, and feature engineering for predictive modeling.