Bridging the gap between data and impactful solutions!
Actively pursuing Data Science/Software roles
[IN PROGRESS] A unified AI assistant and content management system that significantly improved student engagement and learning efficiency by 21% through an integrated front-end and scalable back-end built with Flask and Firebase.
A system to inspect manufactured parts and enhance quality control by using computer vision techniques. This system aims to boost inspection accuracy and efficiency, thus reducing costs and human error.
This project evaluates the performance of encoder-decoder deep neural networks for image captioning using pre-trained ResNeXt CNN as the encoder, and both GRU & LSTM architectures as decoders. The models are compared using BLEU, METEOR, and ROUGE scores
Projected a 30% enhancement in NYPD's crime prevention efficiency through big data analysis of 220k+ crime records using advanced ELT pipelines and Spark.
A Water Consumption Analytics System for Bengaluru using advanced ML techniques such as ARIMA, SARIMA & Holt-Winters for forecasting.
Trained a Turtlebot3 Waffle Pi to autonomously navigate through the manufacturing plant without collision using DQN algorithm and human intervention data for faster learning.
Developed a system that identifies high value customers based on CLV who at risk of churning and flags them so that they can be incentivised for retention.