AI Research intern at SCAAI || Kaggle Notebooks Master || Machine Learning || SQL || Deep Learning || NLP || Computer Vision || Data Science writer || Python
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B.Tech student at SIT Pune
Data Scientist
June 16, 2026 – Present
Therapy__Chatbot__using__Transformer
April 7, 2022 – April 7, 2022
The proposed project aims to create a generative model for Conversational AI agents, limited to the language English. The agent must be able to comprehend the input statement and generate close-to-human responses for single-turn and multi-turn dialogue. It aims to aid people with their mental health issues, hence acting as a TherapyBot. We used Transformer using Tensorflow to build this project.
View ProjectRoad_Accident_Severity_TMLC_Project-1
April 5, 2022 – April 7, 2022
This repository contains an end to end Machine Learning implementation of Road Accident Severity prediction where we have to predict the severity of the accident based on 32 features. The dataset was collected from Addis Ababa Sub-city police departments for master's research work and had 12k instances from past 4years. Used Random forest and deployed on local machine. Aim is to deploy on heroku using streamlit.
View ProjectAlzheimer_detection_using_Vision_Transformer
February 22, 2022 – November 13, 2022
This repository contains the project on detection of Alzheimer disease using Brain MRI scans by using Vision Transformer. The brain mri scans has 4 categories of dementia ranging from no dementia to moderate dementia. We also used DCGAN and Data augmentation to increase the number of samples. The aim is to use image segmentation (U-Net) and GNNs as well in coming months.
View ProjectDNA_Sequencing_classifier
November 6, 2021 – November 27, 2021
Build a DNA sequence classifier which classifies the DNA sequences into 6 different labels by dividing each sequence into k-mers of a specified length of fixed size and then applying Bag of words to convert into vector so that we can feed it to our classifier.
View ProjectTensorflow-2.0-basic-operations
November 6, 2021 – November 6, 2021
Tensorflow is a framework/library in Deep learning which is primarily used for Deep learning in practice and research. It allows us to create Neural Networks and perform operations on that. It was developed by Google. Tensorflow has two versions : 1.0 and 2.0
View ProjectEncoder_Decoder_language_translation
November 6, 2021 – November 6, 2021
Encoder-Decoder is an example of seq2seq model where we take sequence as i/p and sequence as o/p. Encoder is the input network and decoder is the output network. Machine translation is an application of Encoder-Decoder
View Projectairplane_accident_severity_hackerearth_challenge
November 6, 2021 – November 26, 2021
Hackerearth recently hosted a competition where we had to predict the severity of airplane accident. It was a Machine Problem statement where I used XG Boost to solve the problem.
View ProjectNews_Articles_Category_prediction
November 6, 2021 – November 26, 2021
Created a RNN/LSTM model which predicts the category of the news articles be it sports, entertainment, politics etc. The concept of Stemming, Lemmatization and stopword removal were used as well.
View ProjectCovid19_news_Sentiment_Analysis
November 5, 2021 – November 5, 2021
Built a LSTM model to predict the Sentiment of Covid-19 News Headline. Used the concept of Stemming, Lemmatization, Tokenization and other NLP concepts for text cleaning.
View ProjectWeb-app-flight-price
October 10, 2021 – November 10, 2021
Built a ML model using Random forest which predicts the flight prices. Deployed this model on Heroku. Used Flask framework for the backend.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in diverse applications of data science, from healthcare (Alzheimer detection, Therapy Chatbot) to transportation (Road Accident Severity, Airplane Accident Severity) and finance (Flight Price Prediction). This breadth of interest could contribute positively to a dynamic team environment. However, the candidate is currently a B.Tech student with no formal industry experience, which might indicate a need for mentorship and structured guidance to align with professional cultural norms. The projects are all personal, which limits insight into collaborative work styles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying various machine learning techniques. The focus on personal projects suggests self-motivation and an ability to work independently. However, without formal work experience or psychometric test results, it is difficult to assess stress handling, team collaboration, or other operational fit aspects.