Shreya Singh

A dynamic Python developer and AI enthusiast with hands-on experience in LLMOps, data science, and API integrations. As an intern at Ernst & Young (EY), I successfully developed an AI-driven tax automation prototype, optimizing processing efficiency through intelligent prompt generation. Skilled in automating workflows, leveraging large-scale data processing, and utilizing data visualization tools like Matplotlib and Seaborn to drive impactful results. Passionate about innovative solutions, effective communication, and fostering teamwork in collaborative environments.

Phone Number: (+91) 9717863064 

Email Id: shreya.singh280105@gmail.com

Active member of Mozilla Firefox Club and Toastmasters International

AI-Driven Tax Automation System

• Developed an AI-powered tax automation prototype at Ernst & Young (EY), leveraging OpenAI APIs and LLMOps to streamline tax data processing.
• Integrated APIs to automate data extraction, analysis, and report generation, reducing manual effort and improving efficiency.
• Fine-tuned Large Language Models (LLMs) to enhance intelligent prompt generation, optimizing accuracy in tax-related responses.
• Utilized Python, LangChain, Matplotlib, and Seaborn to implement data-driven insights and improve decision-making.
• Gained hands-on experience in AI-driven automation, workflow optimization, and real-world applications of machine learning in the financial domain.

• Awarded a gold medal in National Science Olympiad (NSO) conducted by MTG.
• A silver and a bronze medal in International Maths Olympiad (IMO) conducted by Silverzone.
• A silver medal in National Computer Olympiad (NCO) for 2 consecutive years conducted by MTG.