Parth Singh Email & Phone Number

Jaipur, RJ, IN

Jaipur, Rajasthan, India

• Developed a generative AI chatbot using Azure OpenAI and Document Intelligence to extract and structure data from 100+ PDFs, enabling accurate, accessible Q&A interactions.
• Enhanced information retrieval by creating high-quality embeddings and building an Azure AI Search index, optimizing search queries for fast and contextually relevant responses.
• Managed and deployed additional projects using Azure Functions, overseeing the full project lifecycle in Git. Responsibilities included adding Git submodules, implementing linting and formatting standards with Git.

Jaipur, Rajasthan, India

Leveraged OpenAI Assistant to automate financial review, analysis, and grading processes using a RAG (Retrival Augmented Genration) solution. Successfully deployed data science solutions on Azure App Service, guaranteeing scalability and accessibility for stakeholders across the organisation.

Jaipur, Rajasthan, India

• Developed an audio transcription system using Azure Speech Service, capable of accuratelytranscribing spoken content while also offering diarization functionality for speaker identification.
• Designed and implemented a Streamlit user interface, facilitating audio file selection and automatedtranscript generation.

India

• Designed and trained a deep learning model that uses computer vision techniques to accuratelyclassify yoga poses from images.
• Performed data cleaning and preprocessing to ensure high-quality data for the model.
• Designed and implemented a Python game on the OAK-D hardware platform that enables users toplay the game by capturing coordinates from the device and transmitting them to Pygame forprocessing. Resulting in a seamless.
• Presented findings and recommendations to senior management and contributed to technicaldocumentation for future use.

• Explored and gained hands-on experience with diverse machine learning algorithms, such as Linear Regression, Logistic Regression, and others, by undertaking various learning projects and initiatives.
• Employed the Logistic Regression algorithm to analyze customer data and identify potential churners, achieving a high prediction accuracy of 81%.

• Collaborated with organizations that implement Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision.
• Developed a gender classification feature using CNN with an accuracy of over 80% at RollColl. Utilized Tensorflow, CNN, and Deep Learning techniques to implement the feature.
• Developed sentiment analysis feature for customer reviews at Jaisalmer-E-Commerce using NLP, achieving accurate classification of positive and negative.

Bachlors, Computer Science

Education record