Hotel Booking Cancellation System
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Summary
Designed an Excel-based system for analyzing hotel booking data to identify trends, patterns, and cancellation factors to inform business decisions.
Aspiring Data Scientist and Machine Learning Engineer with a strong foundation in Computer Engineering, actively developing expertise in Python, data analysis, and machine learning algorithms. Proven ability to design and implement robust systems for fraud detection, image processing, and business intelligence, achieving high accuracy rates and delivering actionable insights. Eager to leverage analytical skills and technical project experience to contribute to innovative data-driven solutions.
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Bachelor of Engineering
Computer Engineering
Grade: CGPA : 6.97
Courses
Computer Networks
Operating Systems
Machine Learning
Database
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CBSE, XII
Science
Grade: 76.2%
Issued By
Online Course Provider
Python, PHP.
Machine Learning, Scikit-learn, TensorFlow, K-Means Clustering, Random Forest, SVM, Linear Regression.
Pandas, Excel, PowerBI, Tableau, Exploratory Data Analysis (EDA).
MySQL, PostgreSQL.
Git, Jupyter Notebook, Kaggle, OpenCV.
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Summary
Designed an Excel-based system for analyzing hotel booking data to identify trends, patterns, and cancellation factors to inform business decisions.
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Summary
Developed a machine learning-driven system to detect fraudulent credit card transactions, leveraging advanced algorithms and a Kaggle dataset.
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Summary
Implemented a Python-based system for analyzing and predicting dominant image colors using computer vision and data analysis libraries.