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Available For Work
Local Time ( EST )
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Projects Showcase
Projects Showcase
Projects Showcase
Projects Showcase
CRM Application in Palantir Foundry
Project
Designed and implemented a CRM application in Palantir Foundry for lead prioritization and opportunity management. Modeled company and contact data using Foundry Ontology, built transformations to compute lead scores, and developed interactive dashboards with Workshop Builder. Delivered features like lead assignment, activity tracking, and advanced filtering to help sales teams focus on high-value opportunities and drive business growth.
CRM Application in Palantir Foundry
Project
Designed and implemented a CRM application in Palantir Foundry for lead prioritization and opportunity management. Modeled company and contact data using Foundry Ontology, built transformations to compute lead scores, and developed interactive dashboards with Workshop Builder. Delivered features like lead assignment, activity tracking, and advanced filtering to help sales teams focus on high-value opportunities and drive business growth.
CRM Application in Palantir Foundry
Project
Designed and implemented a CRM application in Palantir Foundry for lead prioritization and opportunity management. Modeled company and contact data using Foundry Ontology, built transformations to compute lead scores, and developed interactive dashboards with Workshop Builder. Delivered features like lead assignment, activity tracking, and advanced filtering to help sales teams focus on high-value opportunities and drive business growth.
CRM Application in Palantir Foundry
Project
Designed and implemented a CRM application in Palantir Foundry for lead prioritization and opportunity management. Modeled company and contact data using Foundry Ontology, built transformations to compute lead scores, and developed interactive dashboards with Workshop Builder. Delivered features like lead assignment, activity tracking, and advanced filtering to help sales teams focus on high-value opportunities and drive business growth.
Federal Funds Rate Forecasting with LSTMs
Project
Developed a predictive model using LSTM neural networks to forecast the Federal Funds Effective Rate. Performed feature engineering and statistical analysis on macroeconomic data, identifying historical interest rates as key predictors to enhance model performance and forecast accuracy.
Federal Funds Rate Forecasting with LSTMs
Project
Developed a predictive model using LSTM neural networks to forecast the Federal Funds Effective Rate. Performed feature engineering and statistical analysis on macroeconomic data, identifying historical interest rates as key predictors to enhance model performance and forecast accuracy.
Federal Funds Rate Forecasting with LSTMs
Project
Developed a predictive model using LSTM neural networks to forecast the Federal Funds Effective Rate. Performed feature engineering and statistical analysis on macroeconomic data, identifying historical interest rates as key predictors to enhance model performance and forecast accuracy.
Federal Funds Rate Forecasting with LSTMs
Project
Developed a predictive model using LSTM neural networks to forecast the Federal Funds Effective Rate. Performed feature engineering and statistical analysis on macroeconomic data, identifying historical interest rates as key predictors to enhance model performance and forecast accuracy.
LLM-Powered Discussion Forum with Automated Summarization
Project
Built a discussion forum integrated with AWS S3 and Hugging Face Transformers via REST APIs, enabling a 90% reduction in manual summarization by automatically generating concise topic overviews using state-of-the-art LLMs.
LLM-Powered Discussion Forum with Automated Summarization
Project
Built a discussion forum integrated with AWS S3 and Hugging Face Transformers via REST APIs, enabling a 90% reduction in manual summarization by automatically generating concise topic overviews using state-of-the-art LLMs.
LLM-Powered Discussion Forum with Automated Summarization
Project
Built a discussion forum integrated with AWS S3 and Hugging Face Transformers via REST APIs, enabling a 90% reduction in manual summarization by automatically generating concise topic overviews using state-of-the-art LLMs.
LLM-Powered Discussion Forum with Automated Summarization
Project
Built a discussion forum integrated with AWS S3 and Hugging Face Transformers via REST APIs, enabling a 90% reduction in manual summarization by automatically generating concise topic overviews using state-of-the-art LLMs.
AI Job Application Assistant
Project
Developed a RAG-based assistant using GPT-4o and Pinecone to automate resume-job matching, cover letter generation, and skill-gap insights across 500+ applications. Reduced application preparation time by 85% by streamlining the entire process end-to-end.
AI Job Application Assistant
Project
Developed a RAG-based assistant using GPT-4o and Pinecone to automate resume-job matching, cover letter generation, and skill-gap insights across 500+ applications. Reduced application preparation time by 85% by streamlining the entire process end-to-end.
AI Job Application Assistant
Project
Developed a RAG-based assistant using GPT-4o and Pinecone to automate resume-job matching, cover letter generation, and skill-gap insights across 500+ applications. Reduced application preparation time by 85% by streamlining the entire process end-to-end.
AI Job Application Assistant
Project
Developed a RAG-based assistant using GPT-4o and Pinecone to automate resume-job matching, cover letter generation, and skill-gap insights across 500+ applications. Reduced application preparation time by 85% by streamlining the entire process end-to-end.
Comic Book Generator Assistant
Project
Developed an intelligent assistant leveraging GPT-4 and Stable Diffusion to streamline and enhance the creation of comics and art books through sophisticated language interaction and AI-generated imagery.
Comic Book Generator Assistant
Project
Developed an intelligent assistant leveraging GPT-4 and Stable Diffusion to streamline and enhance the creation of comics and art books through sophisticated language interaction and AI-generated imagery.
Comic Book Generator Assistant
Project
Developed an intelligent assistant leveraging GPT-4 and Stable Diffusion to streamline and enhance the creation of comics and art books through sophisticated language interaction and AI-generated imagery.
Comic Book Generator Assistant
Project
Developed an intelligent assistant leveraging GPT-4 and Stable Diffusion to streamline and enhance the creation of comics and art books through sophisticated language interaction and AI-generated imagery.
Object Detection Comparative Analysis
Project
This project explores three popular object detection algorithms: YOLO V5, SSD, and Faster R-CNN. It analyzes their strengths and weaknesses in terms of accuracy, computational cost, and real-time performance, providing insights into their suitability for various applications like robotics, self-driving cars, and medical imaging.
Object Detection Comparative Analysis
Project
This project explores three popular object detection algorithms: YOLO V5, SSD, and Faster R-CNN. It analyzes their strengths and weaknesses in terms of accuracy, computational cost, and real-time performance, providing insights into their suitability for various applications like robotics, self-driving cars, and medical imaging.
Object Detection Comparative Analysis
Project
This project explores three popular object detection algorithms: YOLO V5, SSD, and Faster R-CNN. It analyzes their strengths and weaknesses in terms of accuracy, computational cost, and real-time performance, providing insights into their suitability for various applications like robotics, self-driving cars, and medical imaging.
Object Detection Comparative Analysis
Project
This project explores three popular object detection algorithms: YOLO V5, SSD, and Faster R-CNN. It analyzes their strengths and weaknesses in terms of accuracy, computational cost, and real-time performance, providing insights into their suitability for various applications like robotics, self-driving cars, and medical imaging.
Novel Non-Invasive Detection of Anemia using Computer Vision
Project
This project develops a novel non-invasive approach to detect anemia by analyzing hemoglobin levels from digital images. Utilizing deep learning and image processing techniques, this system aims to provide an objective, accurate, and accessible diagnostic tool.
Novel Non-Invasive Detection of Anemia using Computer Vision
Project
This project develops a novel non-invasive approach to detect anemia by analyzing hemoglobin levels from digital images. Utilizing deep learning and image processing techniques, this system aims to provide an objective, accurate, and accessible diagnostic tool.
Novel Non-Invasive Detection of Anemia using Computer Vision
Project
This project develops a novel non-invasive approach to detect anemia by analyzing hemoglobin levels from digital images. Utilizing deep learning and image processing techniques, this system aims to provide an objective, accurate, and accessible diagnostic tool.
Novel Non-Invasive Detection of Anemia using Computer Vision
Project
This project develops a novel non-invasive approach to detect anemia by analyzing hemoglobin levels from digital images. Utilizing deep learning and image processing techniques, this system aims to provide an objective, accurate, and accessible diagnostic tool.
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@2024, All Rights Reserved
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