HOUSE PRICE PREDICTION WITH PYTHON
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Summary
Developed a machine learning model to predict house prices, encompassing data preprocessing, feature engineering, and interactive deployment.
Highly motivated Bachelor of Technology student specializing in Artificial Intelligence & Data Science, with practical experience in Python, machine learning, and full-stack development. Proven ability to build predictive models, develop interactive web applications, and contribute to mobile app development. Eager to leverage strong problem-solving and analytical skills to drive innovative solutions in data science or software development roles.
Trainee
Hyderabad, Telangana, India
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Summary
Engaged in comprehensive hands-on training in Python programming and web development, building foundational skills in backend and frontend technologies.
Highlights
Mastered Python programming fundamentals, including data types, control structures, functions, and object-oriented concepts, through intensive hands-on training.
Gained practical experience in SQL, executing complex queries for data retrieval, filtering, and joins using MySQL to manage database operations.
Developed interactive front-end pages utilizing HTML, CSS, and JavaScript, enhancing user experience for web applications.
Built mini web applications using Flask, demonstrating proficiency in backend routing and template rendering for full-stack development.
Improved debugging, problem-solving, and code structuring practices through guided labs and projects, enhancing code efficiency and quality.
Intern
Hyderabad, Telangana, India
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Summary
Contributed to the development of a cross-platform mobile application, focusing on front-end implementation and data management.
Highlights
Assisted in the front-end development of a mobile application for iOS/Android using Dart and the Flutter framework, ensuring cross-platform compatibility.
Managed user-inputted data across multiple platforms (web, mobile apps) by integrating Google Firebase, ensuring robust data storage and retrieval.
Collaborated with team members using Git for version control, streamlining code modifications and task assignments, improving project workflow efficiency.
Utilized Android Studio as a development environment to visualize and test the application across both iOS and Android platforms, ensuring optimal performance.
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Bachelor of Technology
Computer Science-Artificial Intelligence & Data Science
Courses
Data Structures
Software Methodology
Algorithms Analysis
Database Management
Artificial Intelligence
Internet Technology
Systems Programming
Computer Architecture
Issued By
IBM
Issued By
Simplilearn
Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Linear Regression, Random Forest, XGBoost.
Python, Dart, SQL, HTML, CSS, JavaScript.
Flask, Flutter, Pandas, Seaborn, Streamlit.
MySQL, Google Firebase, APIs.
GitHub, Git, Jupyter Notebook, VS Code, Android Studio.
Problem-solving, Analytical Thinking, Team Collaboration, Support.
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Summary
Developed a machine learning model to predict house prices, encompassing data preprocessing, feature engineering, and interactive deployment.