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Posts

portfolio

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.

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.

portfolio1

Advanced Graph-Based Deep Learning for Predictive Analytics in Urban Bike-Sharing Systems

This study leverages advanced graph convolutional networks to accurately predict bike demand, incorporating complex spatial and temporal dynamics to enhance the efficiency and reliability of urban bike-sharing systems.

Enhancing Financial Trading Strategies through Deep Reinforcement Learning (DRL)

Developed a Deep Reinforcement Learning model for trading strategies using Python, TensorFlow, and Keras. Integrated action augmentation, custom Q-networks, and experience replay to optimize trading decisions and capture temporal dependencies.

Optimizing Network Routing with Deep Reinforcement Learning and Graph Neural Networks

In this project, I combined Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) to solve routing optimization problems in Optical Transport Networks (OTN).

portfolio2

Enhancing Supply Chain Risk Management: A Hybrid DEMATEL-ANP Methodology

This project employs a hybrid MCDM approach integrating DEMATEL and ANP (DANP) to analyze and prioritize supply chain risks in the Indian Electronics Industry, offering a comprehensive view of risk interrelationships and their impact on supply chain dynamics.

Enhancing Automotive Assembly Efficiency: A Six Sigma DMAIC Case Study

This project applied Six Sigma DMAIC to enhance the to optimize the assembly process in an automotive company, resulting in a 40% reduction in defects and a significant increase in process capability.

Optimization of Manufacturing Process Through Advanced Simulation Modeling

Application of ARENA simulation software in process flow improvement, achieving enhanced productivity and resource efficiency.

Benchmarking in Supply Chain: Xerox Corporation’s Strategy

This project examines Xerox Corporation’s use of benchmarking to optimize its supply chain, highlighting improved efficiency and customer satisfaction.

Effective Risk Management in ERP Project Implementation using FTA

This project encapsulated the adoption of a new module within an existing ERP system, integrating fault tree analysis to systematically address and mitigate critical risks associated with communication and business process reengineering.

portfolio3

Statistical A/B Testing

Statistical tests to be used for A/B testing

N-gram Language Models

Understanding N-Gram Models: Perplexity and Smoothing Techniques in Natural Language Processing

publications

Paper Title Number 1

Published in Journal 1, 2009

This paper is about the number 1. The number 2 is left for future work.

Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf

Paper Title Number 2

Published in Journal 1, 2010

This paper is about the number 2. The number 3 is left for future work.

Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf

Paper Title Number 3

Published in Journal 1, 2015

This paper is about the number 3. The number 4 is left for future work.

Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf

Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3). http://academicpages.github.io/files/paper3.pdf

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015