SHREYAL GUPTA

Anticipated role focusing on developing and implementing advanced data science solutions within Fractal Analytics, leveraging AI and machine learning for business impact.

• Contribute to cutting-edge data science initiatives, applying advanced analytical techniques to solve complex business challenges.
• Collaborate with cross-functional teams to design, develop, and deploy scalable AI/ML solutions.
• Drive innovation in data-driven decision-making, utilizing expertise in machine learning and generative AI.
• Identify and evaluate new technologies and methodologies to enhance data science capabilities.

Developed and optimized advanced algorithmic trading strategies and real-time HFT systems, integrating machine learning and data analysis to enhance financial market performance.

• Developed and optimized multiple algorithmic trading strategies from scratch, identifying complex price patterns and implementing technical indicators like Parabolic SAR and VWAP.
• Conducted in-depth time-series data analysis, manipulation, and interpretation using Python, Pandas, Numpy, and SciPy, integrating computer vision for pattern detection.
• Engineered and deployed real-time High-Frequency Trading (HFT) systems for options, futures, and stocks, integrating broker APIs for low-latency execution and automating operations end-to-end.
• Spearheaded the design and implementation of an experimental agentic AI pipeline, automating the entire trading strategy development lifecycle from hypothesis generation to performance evaluation, while mentoring an intern.
• Implemented an automated system for stock selection, ranking, and portfolio rebalancing, integrating customizable investment modes, capital allocation, and position sizing strategies.
• Ensured data integrity by correcting historical stock data, accounting for dividend changes and stock splits.

Led a team in developing custom themes for Visual Studio Code, contributing to the developer community.

• Directed a 4-member team in the creation of 6 custom Visual Studio Code themes, achieving over 1100 installations across all themes.

Led technical initiatives and managed projects for the AI Club at IGDTUW, fostering a vibrant learning environment for AI/ML enthusiasts.

• Evaluated over 40 machine learning projects, utilizing EDA, Classification, and Regression techniques, and oversaw the AI Club's Summer Internship program.
• Developed and launched the official club website with a team, enhancing online presence and resource accessibility.

Researched and developed presentations on various financial topics, aimed at improving financial literacy among university students.

• Developed and delivered presentations on diverse financial topics, enhancing financial literacy for university students.

Organized eco-awareness initiatives and fundraising events in collaboration with WWF-India, promoting environmental consciousness.

• Coordinated eco-awareness webinars and events, successfully raised funding, and contributed to WWF's Project Echo initiatives.

Provided mentorship to school students, guiding their academic and personal development.

• Provided mentorship to 5 high school students (grades 9-12), supporting their academic performance and personal growth.

Built an AI Surveillance System to detect violence in school premises under Intel's AI4Youth program.

Developed a comprehensive comparative analysis of traditional DSP and machine learning methods for Active Noise Cancellation (ANC).

Built a Machine Learning model to predict customer coupon redemption using demographic, transactional, and campaign data.

Led a team of 4 members to create 6 Custom themes for Visual Studio Code and a website where they can be downloaded from.

Developed a Python and MySQL-based system to automate the generation of PDF report cards from a student database for schools.