Swimming, Listening to Music, Singing, Sketching
As an AI and Data Science Engineer, I'm looking for a role where I can use my knowledge of DL, ML and data analytics skills to create innovative, data-driven solutions. Having a solid basis in the development and use of complex algorithms and models, my goal is to make a valuable contribution to cutting-edge projects that leverage AI to tackle challenging issues.
Microsoft Office (Word, PowerPoint)
Python
Machine Learning
Deep Learning
Tableau
PowerBI
Data Visualization
Juypter Notebook
Google Collab
Big Data
Data Structures
Statistics
Natural language Processing
ReactJS
NodeJS
Data Analysis
SQL Basics
Paper Publications
Prediction and Classification of Air Quality using Machine Learning Classification Algorithms CIISCA Conference, 2023.
Analysis on Distractions in Youth due to Social Media and the effects on their Concentration Abilities SoCTA Conference, 2022.
Classification of Waste using Deep Learning and Interpretability using Explainable AI ICCIIS Conference,2024 Ongoing.
Classification of Waste Related Images using Deep Learning and Interpretability using Explainable AI
Implemented a Customized Convolution Neural Network on data related to waste images.
After training the model, achieved an accuracy of 86% on validation data.
Applied well-known pretrained CNN models on the same dataset achieving accuracy close to the customized model.
Also applied Explainable AI concept LIME to get an easier understanding of the model.
Classification of Air Quality using Machine Learning Algorithms
Implemented a ML classification model for classification of air quality using google collab platform.
Applied various ML algorithms and got an accuracy of 99% for the SVM model for the dataset used.
Swimming, Listening to Music, Singing, Sketching