I'm a tech enthusiast with a knack for turning raw data into valuable insights. My background in Information Technology, combined with hands-on projects in machine learning and data analysis, has equipped me with the skills to tackle any data challenge. I'm excited to bring my passion and expertise to a Data Engineer role and contribute to a data-driven organization.
Bachelor of Engineering
Information Technology
Grade: 8.63 сgpa
PCM
Summary
Developed a sentiment-based recommender system with emotion detection and a mental health-focused chatbot the input is processed and trained on algorithms and best recommendations are generated. Enabled personalized content recommendations Implemented recommendation algorithms to analyze user behavior and preferences
Summary
Developed a personalized movie recommendation system using machine learning to enhance user engagement and satisfaction Implementation of collaborative and content-based filtering techniques. Application of machine learning algorithms for building recommendation models.
Summary
The supermarket system stores and tracks the products from admin and user end. Shoppers ('User') can choose a variety of products ('Product') across multiple product categories ('Category') in order to generate an order ('Order') that is stored within the database.
Summary
Performed data cleaning using MySql and data modelling using tableau created a Tableau dashboard displaying revenue, sales quantity and top customers and products by market and year.
Published by
IRJMETS
Summary
Published a paper in International Research Journal of Modernization In Engineering Technology and Science. The goal of this study is to use convolutions neural networks (CNNs) to efficiently classify human face sentiment expressions This project's main goal is to create a unique Sentiment-Based Recommender System that uses image-based mood analysis to increase user interaction.
Java, Python, SQL, HTML, CSS, JavaScript.
Pandas, Numpy.
React.
Issued By
Udemy
Issued By
HackerRank