Portfolio 23bit157 Virat Patel as Software Engineer

Portfolio

1. My Learning Journey & Skills Virat Patel B.Tech in Information and Communication Technology Minor: Computational Data SciencePandit Deendayal Energy University (2023–2027) Passionate about harnessing the power of Machine Learning , Data Science, and Software Development to build intelligent solutions that solve real-world problems. Core Interests Machine Learning & AI Data Science & Analytics Software Development Building Scalable Solutions "Exploring Data, Building Intelligent Solutions"

2. Academic Background University Education Pandit Deendayal Energy University , Gandhinagar B.Tech in Information & Communication Technology with Minor in Computational Data Science Key Coursework Data Structures & Algorithms Machine Learning & Artificial Intelligence Database Management Systems Python Programming & Applications Beyond Academics Coordinator @ Pratibha Foundation NGO Led the organisation of community events, fundraising initiatives, and educational webinars to create social impact and develop leadership skills.

3. IPL Win Predictor Machine Learning Project Showcase Developed an end-to-end machine learning solution that predicts Indian Premier League match outcomes with high accuracy, demonstrating practical ML implementation skills. 01 Data Processing Preprocessed historical IPL match data using pandas and NumPy for feature engineering and data cleaning 02 Model Development Built and trained prediction models using scikit-learn, evaluating multiple algorithms for optimal performance 03 Web Deployment Created an interactive web application using Streamlit with pickle serialisation for model persistence 04 Cloud Hosting Deployed the application on Streamlit Cloud with complete source code available on GitHub 🔗 View Project on GitHub | Watch 2-3 minute demo video showcasing functionality and technical implementation You can find the project on my Github page Link : https://github.com/Virat2702/ipl-win-predictor

4. My Tech Stack Programming Languages Python, C/C++, SQL Strong foundation in multiple programming paradigms with emphasis on Python for data science and machine learning applications ML & Data Libraries NumPy, pandas, scikit-learn, Matplotlib Proficient in essential data manipulation, analysis, visualisation, and machine learning frameworks Development Tools Streamlit, Git, VS Code, Jupyter Experienced with modern development environments, version control, and interactive computing platforms Database Systems MySQL, SQLite Capable of designing, querying, and managing relational databases for data-driven applications Core Concepts & Expertise Exploratory Data Analysis • Model Building & Evaluation • Regression & Classification • Data Preprocessing • Feature Engineering • Model Deployment

5. My Future Path Short-Term Goal Secure a Software Engineering or ML Internship to gain hands-on industry experience and apply theoretical knowledge to real-world challenges Long-Term Vision Evolve into a Data Scientist or AI Engineer creating innovative solutions that leverage cutting-edge technology for meaningful impact Professional Reflection Building this portfolio and actively sharing projects on LinkedIn and GitHub significantly enhances my professional credibility and visibility within the tech community. Demonstrating projects through video walkthroughs showcases not only technical proficiency but also strong communication skills—essential for collaborative engineering roles.