Priyesh Gupta
Designer + AI Enthusiast, Learner, Designer, Programmer, and Data Scientist
Hi there
I'm Priyesh, a quantitative researcher focused on developing innovative strategies in the Equity and F&O sections of the Indian stock market. I'm currently pursuing a degree in Data Science and Artificial Intelligence at the Indian Institute of Information Technology, Dharwad. Alongside my expertise in web development with the MERN stack, I have a deep passion for AI and finance, particularly in machine learning and time series modeling.
With 4 internships completed and 2 research papers published, my research covers diverse topics, including stock market prediction, LLM fine-tuning for finance, speaker diarization, and metacognitive regulation in learning environments. I have successfully led projects from developing platforms for the specially abled to building AI-powered attention tracking systems and created a comprehensive cryptocurrency trading platform that prioritizes users' mental well-being by assembling innovative features and providing personalized Educational Content.
Proficient in Python, TensorFlow, and PyTorch, I am always eager to tackle real-world challenges with cutting-edge technology. Thriving in dynamic environments, I constantly seek opportunities to push the boundaries of web development and AI.
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- Research Intern - Robert Bosch Centre for Data Science and AI (IIT Madras)Jun 2024 - Present• Employing advanced sentiment analysis with transformer-based models to enhance swing trading strategies in the Indian stock market.• Integrating multimodal data (social media sentiment, financial news, technical indicators, and fundamental analysis) for a comprehensive stock prediction system.• Investigating the impact of optimized time series prediction models and robust feature selection on swing trading prediction accuracy.• Preliminary results indicate the multimodal approach may significantly improve accuracy and reliability of swing trading predictions compared to traditional methods.
Emotional Monitoring of Crypto Traders
Developed a cryptocurrency trading platform that monitors emotional well-being and provides personalized interventions to enhance user decision-making.
Online Schooling for the Specially Abled
Developed an adaptive online learning platform for specially-abled students using computer vision, winning first place in a hackathon for building it in 48 hours.
Trustblock: Decentralized News Platform for Credible Journalism
It is an innovative decentralized news platform aimed at tackling misinformation and fostering critical thinking in today's digital era. By harnessing blockchain technology, TrustBlock securely organizes news articles by topic, verifying news authenticity through a decentralized model and Subject matter experts contribute to the credibility assessment process, enhancing accuracy and impartiality.
Alumni Connect
Designed a Flutter app for CGC IIIT Dharwad that fosters alumni engagement, featuring social media-style image sharing, job postings, and job application capabilities.