HARSH DESAI

Energetic and eager newcomer with a range of skills, currently a project intern at Samsung India. Good at solving problems and working effectively with team. Open to learn new skills and adopt to new environment. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Deblurring of images using autoencoders (Machine Learning), 

• Proficient in utilizing autoencoders and CNNs for image deblurring tasks, enhancing the clarity and quality of visual content.
• Experienced in the complete pipeline of deep learning model development, including training, fine-tuning, and evaluation, ensuring robust and reliable models for image restoration.

 Fake News Classifier (NLP)

• Implemented NLP methodologies for classification, utilizing tokenization and word embeddings for preprocessing.
• Evaluated classifier performance using accuracy, precision, recall, and cross-validation for optimization.

Detecting Bias in System Generated Summaries (SAMSUNG PRISM)

• Spearheaded a project on detecting bias in AI-generated news summaries using Summarization and BERT, demonstrating proficiency in data collection, management, and methodology development.
• Proposed and implemented strategies to mitigate bias in AI-generated summaries, including exploring advanced models like BERT and XLNet, and contributed to fostering media transparency and accountability.

Ph.D. details Management System (ANGULAR, SQL)

• Developed a user-friendly dashboard using Angular, incorporating Angular Material components and a MySQL database, to manage Ph.D. registrations, research students, and published books with comprehensive data management and efficient search functionalities.

 Analysis of New York City taxi trip data (EDA)

• Conducted Thorough Exploratory Data Analysis (EDA): Performed comprehensive EDA of NYC Yellow Taxi trip data. Explored trip duration, distance, fare patterns, and geographic distribution of taxi services.

• Cricket
• Football
• Trading
• Politics