Focus : 'Machine Learning and Data Science Applications','Data Analysis;
Specifications : 'Python and Machine Learning ','Django Web Development','Deep Learning','PowerBI','SQL','NOSQL','PowerBI','Natural Language Processing',
Languages
Hindi, English , Gujarati,Hobbies
Artwork, Writing, Reading, Riding
Summary
I am a motivated data science student with a strong foundation in Python, machine learning, and web development. Currently pursuing my MSc in Data Science from Christ University, Pune, I have hands-on experience in building and deploying data-driven applications. My projects include a vehicle tracking system using YOLOv8, a collaborative movie recommendation system. Additionally, I am working on a used vehicle price prediction model and a machine learning-based application for car price prediction. My technical skills include Python, Django, machine learning, data analysis, and cloud platforms like Azure. I have completed relevant certifications, including the Google Advanced Data Analytics Professional Certificate and multiple Python and web development courses on Udemy. I am keen to apply my skills and knowledge in a data science internship, with a particular interest in Pune-based opportunities. I am also exploring research in Explainable AI, enhancing my ability to provide transparent and interpretable data solutions.
Employment History
Data Science Intern , Coding Raja Technologies
Education History
Internships
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Internship Role: Data Science Intern
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Company: Coding Raja Technologies
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Responsibilities:
- Engaging in projects that likely involve data analysis, machine learning, and web development.
- Applying data science techniques to solve real-world business problems.
- Developing and deploying machine learning models to enhance the company’s product offerings or internal processes.
- Collaborating with team members to implement data-driven solutions, possibly involving cloud computing and web technologies.
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Skills Utilized:
- Python programming for data analysis and model development.
- Use of frameworks such as Django for web development projects.
- Machine learning algorithms for predictive modeling and data analysis.
- Cloud platforms like Azure for deploying and managing applications.
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Learning Outcomes:
- Gained hands-on experience in applying data science principles to real-world scenarios.
- Improved skills in developing and deploying full-stack applications with a focus on data-driven decision-making.
- Exposure to working in a professional tech environment, enhancing both technical skills and teamwork abilities.
Projects
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Vehicle Tracking System using YOLOv8: A project focused on tracking vehicles in traffic, assigning unique IDs, and identifying vehicle speed using the YOLOv8 model for object detection..
Movie Recommendation System: Developed a system using collaborative filtering to recommend movies based on user preferences. The system suggests movies that similar users have liked, ensuring personalized recommendations.
Unistay Project: Involved in a project related to "Unistay," though specific details about this project were not provided. It likely involves data analysis or development work tailored to student housing or university accommodation solutions.
Worked on analyzing sleep data, which may involve identifying patterns, assessing sleep quality, and providing insights using data analysis techniques.
An application with separate models for users and admins, where admins can upload CSV files containing data. The system then uses this data to predict car prices based on user inputs
AutoWorth is a Django-based web app that predicts the resale value of used cars. Users fill out a simple form with details like the car's make, model, year, fuel type, kilometers driven, and more. Using a machine learning model, the app then estimates the car's price and displays it, along with a vehicle image. AutoWorth also includes an auto-scrolling news section for the latest Indian automobile updates. It's a handy tool for anyone looking to get an accurate price estimate for their used car.