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MultiModal-RAG
July 20, 2024 – July 21, 2024
This project is designed to extract and process data from PDF files, including both text and tables. The processed data is stored in vector databases, allowing for efficient retrieval and multi-modal question-answering using large language models (LLMs).
View ProjectDashwork-Backend
April 25, 2021 – August 14, 2021
Flask-based REST API for Dashwork and ML pipelines for the training of NLP.
View ProjectDashwork
April 2, 2021 – June 6, 2021
A react based DASHboard to train NLP based neural netWORKs.
View ProjectLanguage-Translation-Using-PyTorch
September 7, 2020 – September 20, 2020
Translation of English to Hindi Text Using Pytorch, LSTM and Attention
View ProjectSentiment-Analysis-Using-Transformers-PyTorch
June 29, 2020 – August 17, 2020
Sentiment Analysis of Yelp Review Dataset using Hugging Face pre-trained BERT with fine-tuning
View ProjectMalaria-Detection-Using-Faster-RCNN
February 2, 2020 – November 22, 2022
Given images of blood samples predict whether a patient has malaria or not using Tensorflow Object Detection API and Transfer Learning
View ProjectSantander-Customer-Transaction-Prediction
November 18, 2019 – August 30, 2020
The aim of Santander bank is to predict which customers will make a specific transaction in the future that means given particular features of customers we have to determine whether this customer will make a transaction or not.
View ProjectDonors-Choose-LSTM
November 16, 2019 – November 16, 2019
DonorsChoose.org receives hundreds of thousands of project proposals each year for classroom projects in need of funding. Right now, a large number of volunteers is needed to manually screen each submission before it's approved to be posted on the DonorsChoose.org website.
View ProjectMicrosoft-Malware-Detection
November 16, 2019 – August 17, 2020
We explore and analyse malware data (around 200GB) provided by Microsoft and build Machine Learning multi class classification models to classify said malware files into it's respective category with high precision and recall.
View ProjectMultifaceted-Digit-Recognizer
October 5, 2019 – November 22, 2022
A Web app to Recognize Digit by Drawing and Voice using Django and Tensorflow
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in applying machine learning to various problems, including natural language processing, computer vision, and traditional machine learning tasks. The projects are primarily personal, suggesting self-motivation and a drive to learn and build. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment. The projects align well with the technical demands of a Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.