Harjaap Singh

As a hardworking student who is pursuing a master's degree and gaining more knowledge, I have a strong desire to learn and develop. Ready to utilise my skills and passion to further the mission of the company. Offering experience with many different office technology programs and advanced computer skills. Bringing forth a positive attitude and the willingness and motivation to learn new programs.

• Artificial Intelligence Course Training, 2 Months
• Web Designing Course, 6 Weeks, Learned about front-end and back-end including database handling etc.
• Java Programming Certificate, NPTEL Swayam
• BCG Virtual Experience Program, 2023, 6-8 Hours
• British Airways Data Science Virtual Experience Program, Forage
• Accenture Data Analytics and Visualization Virtual Experience Program, Forage
• TATA Data Visualization: Empowering Business with Effective Insights Virtual Program, Forage
• AIG Shields Up: Cybersecurity Virtual Experience Program, Forage
• PWC Power BI Virtual Case Experience Program, Forage

• American Sign Language Gesture Recognition Using Deep Learning with Transfer Learning (2024): Engineered a robust ASL gesture recognition system using deep learning and transfer learning approaches. Implemented and compared multiple architectures, including AlexNet, ResNet-18, and MobileNetV2, to optimise classification performance. Achieved over 95% test accuracy by leveraging pre-trained models for efficient feature extraction and fine-tuning. Applied data augmentation and hyperparameter optimisation to improve generalisation, contributing to real-time, accessible communication solutions for the hearing-impaired community.
• E-Commerce Website with Backend using Java and MySQL (2023): Designed and developed a scalable e-commerce platform, integrating secure user authentication, seamless cart and order management, and real-time payment processing. Achieved a 30% improvement in database query efficiency through optimised SQL and backend logic, enabling the platform to support over 500 concurrent users with minimal latency. Delivered a robust, user-centric experience that streamlined purchase flows and enhanced overall customer satisfaction.
• NGO Aid Website using HTML, CSS, and Bootstrap (2022): Created a responsive and visually engaging website for an NGO, improving visitor engagement by an estimated 40% through clean UI/UX design and mobile optimisation. Effectively showcased donation campaigns and organisational impact, resulting in increased outreach and supporter participation. Ensured accessibility and cross-device compatibility to maximise audience reach and brand visibility.
• Steganography Project using Python and Cryptography (2022): Developed a secure steganography application in Python to embed encrypted messages within digital images, ensuring data confidentiality and integrity. Utilised advanced cryptographic algorithms to enhance security layers, achieving a successful 100% retrieval rate of hidden messages without data loss. Demonstrated expertise in cybersecurity principles and practical application of data concealment techniques.
• Cyber-Bullying Detection Using Machine Learning (2021): Designed and implemented a machine learning model to detect cyberbullying in social media texts with high accuracy. Utilised natural language processing (NLP) techniques for data preprocessing and feature extraction, training classifiers such as SVM and Logistic Regression. Achieved over 90% detection accuracy on test datasets, contributing to the development of proactive digital safety solutions.