Uday Sharma

TaxForm1120 Analysis – Generative AI: Transformed unstructured PDFs into structured data, ensuring cleanliness and making necessary modifications. Developed an interactive UI using Streamlit to facilitate user-friendly navigation and interaction. Built analytics using Microsoft Power BI, Matplotlib, and Pandas, enhancing understanding and identifying trends in financial data. Leveraged Gemini Pro Vision, a large vision model, to simplify interpretation of visuals and graphs through text-based commentary. Applied various large language models such as OpenAI (GPT-3.5 and GPT-4), Gemini, Mistral 7B, Llama-2 7B, and Llama-2 13B to gain deep insights into the data, including factors influencing profit and loss. Utilized multiple LLMs for comprehensive data analysis, including summary generation, correlation analysis, outlier detection, interrelation exploration, and implementation of a question-answering system for financial tax insights. GenAI Buddy: Conversational Avatar for Student Support: Developed a conversational avatar capable of comprehending user queries via text input & Speech input. Engineered the avatar to deliver responses through both text and speech formats. Implemented the Way2lip Deep Learning Algorithm to synchronize audio output with realistic lip movements. Utilized OpenAI GPT-3.5 and Mistral 7B models to generate responses, aligning with the objective of aiding students in the education field. Resume Applicant Tracking System: Developed an ATS (Applicant Tracking System) application enabling the upload of resumes in various formats including PDF, TXT files, images, and docs via a user-friendly interface. Utilized Natural Language Processing (NLP) to help the ATS application better understand resume content, making it easier to accurately evaluate candidate qualifications and match them with suitable job opportunities. Implemented a Cosine Similarity Machine Learning Algorithm to compare job descriptions with resumes, focusing on key fields such as h

Perform data cleaning and pre-processing to ensure accuracy and completeness of data. Use Python for data manipulation, visualization, and analysis to generate valuable insights. Maintain MySQL databases to store and manage large data sets