📞 Phone: 7983167609
✉ Email: [email protected]
📍 Location: Bareilly, UP
🔗 LinkedIn: www.linkedin.com/in/4444harsh
💻 GitHub: https://github.com/4444Harsh
📊 Kaggle: https://www.kaggle.com/harshgupta4444
🐦 X (Twitter): https://x.com/4444HarshGupta

A motivated B.Tech 3rd-year student with a strong foundation in Python and Java and expertise in Machine Learning, Deep Learning, TensorFlow, and NLP. Experienced in developing ML-based projects and working with MongoDB for database management. Skilled in Data Structures and Algorithms, with a passion for building innovative AI solutions.

B.Tech in Computer Science
Invertis University (2022-2026)
📅 Expected Graduation: 2026

Machine Learning Intern
📍 RD Infero Technology (2 Months)

• Worked on machine learning projects, improving model accuracy and efficiency.
• Applied data preprocessing, feature engineering, and model optimization techniques.
• Developed ML-based applications, focusing on real-world problem-solving.

• Programming Languages: Python, R, Java
• Machine Learning & AI: Machine Learning, Deep Learning, TensorFlow, NLP
• Data Structures & Algorithms: Strong problem-solving and algorithm design skills
• Database Management: MongoDB, MySQL

• Developed a machine learning model for gender classification based on images.
• Used OpenCV and Flask for image processing and web deployment.
• Applied Principal Component Analysis (PCA) to extract eigenfaces for classification.

• Built a deep learning model to predict age and gender from X-ray images.
• Utilized CNNs for feature extraction and classification.
• Optimized model performance with data augmentation and hyperparameter tuning.

• Created a deep learning model to detect and extract text from vehicle number plates.
• Trained using YOLO for high-accuracy detection and text extraction.
• Application: Traffic control, surveillance, and stolen car tracking.

• Developed an IoT-based system to control lighting via a mobile device using ESP8266.
• Built a web interface for smart lighting control over WiFi.

• Python (October 2024)
• Intermediate Machine Learning (September 2024)
• Complete Pandas for Absolute Beginners (July 2023)
• Data Cleaning and Preprocessing with Pandas (November 2024)
• Git and GitHub (November 2024)

• 🏆 Kaggle Competitions
• 🎮 Online Gaming

I hereby declare that the information provided above is true and correct to the best of my knowledge and belief.