AWS-Powered MLOps Workflow
This project encapsulates the creation of an MLOps pipeline leveraging AWS services, streamlining the path from model development to production with automated CI/CD, testing, and scalable deployment.
Data Science and Machine Learning Projects
Building an ETL Pipeline : Sales Insights Case Study
This project enhances DataCo Global’s ETL data pipeline, employing Mage AI for orchestration, Google Cloud Storage and BigQuery for data handling, and Looker Studio for insights visualization.
Optimizing Urban Bike Sharing with Spatio Temporal Graph Modeling
This project aims to optimize bike distribution for CitiBike using a STGCN model. It involves cleaning and analyzing ride data, identifying key patterns through network analysis, and predicting bike traffic at various stations.
Amazon Product Co-Purchasing Network Analysis
This project leverages network analysis and machine learning to analyze over half a million Amazon product metadata, focusing on understanding product relationships, predicting sales ranks, and provide product recommendations.
Natural Language Processing with Disaster Tweets
This project utilizes Microsoft DeBERTa and data preprocessing techniques to classify tweets as related to real disasters or not, exploring the impact of model choice and data cleaning on prediction accuracy.
Walmart Sales Insights: A Predictive Modelling Approach
Walmart Sales Forecasting project involving a comprehensive analysis of Walmart’s retail data, utilizing predictive models like SARIMA, Ridge Regression, Random Forest, XGBoost, and LSTM to forecast weekly sales.
Analysis of Flight Systems
This project explores the enhancement of flight fare and delay predictions by merging conventional datasets with Twitter data, employing data processing and sentiment analysis to assess social media’s influence on aviation trends.
Customer Segmentation Analysis
This project applies K-means clustering to segment customers based on various features related to their purchasing behavior, and the analysis was focused on understanding the distinct customer groups to tailor marketing and sales strategies effectively.