Movie Recommendation System using Machine Learning
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Summary
Developed a content-based movie recommendation system leveraging machine learning and NLP techniques to provide personalized suggestions.
A proactive Data Analyst with a strong foundation in data manipulation, statistical analysis, and visualization, proficient in Python, SQL, Excel, Power BI, and Tableau. Successfully completed a Data Analytics Virtual Internship, where I gained hands-on experience in ETL processes and developed impactful dashboards. Eager to leverage robust analytical and technical skills to extract actionable insights, drive data-driven decision-making, and contribute to organizational growth in a dynamic data-focused environment.
Data Analytics Virtual Intern
Remote, N/A, India
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Summary
Led data analytics projects, gaining hands-on experience in data cleaning, transformation, and visualization, culminating in a capstone project.
Highlights
Leveraged Excel, SQL, Python, and Power BI to conduct comprehensive data analysis, supporting data-driven insights for business scenarios.
Executed end-to-end data cleaning, transformation, and visualization on diverse real-world datasets, ensuring data integrity and readiness for analysis.
Applied statistical analysis techniques to interpret complex datasets, directly informing data-driven decisions and strategic recommendations for business scenarios.
Designed and presented a comprehensive capstone project, developing an interactive dashboard using Power BI/Tableau that effectively visualized key business metrics.
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M.Tech
Artificial Intelligence and Data Science
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B.Tech
Computer Science and Engineering
Excel (Data Cleaning, Pivot Tables, VLOOKUP, Charts), Power BI, Tableau, Data Visualization, Dashboarding, Statistical Analysis.
Python, SQL, Pandas, Scikit-learn, Natural Language Processing (NLP).
Data Wrangling, Data Normalization, Merging & Joining Datasets, ETL Processes.
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Summary
Developed a content-based movie recommendation system leveraging machine learning and NLP techniques to provide personalized suggestions.