Projects
Quality of Experience Prediction Trends for Live Video Streaming Events using HIVE-streaming data
Implemented deep learning architecture to predict the quality of experience for live video streaming, including data preprocessing and EDA analysis to extract valuable insights.
Binary Classification Model for HEDNO Datathon - Power Theft Detection
Developed a Q-learning based model to classify power theft incidents, incorporating data preprocessing, feature engineering, and model validation to ensure accuracy.
Stock Market Index Trend and ROI Prediction - Time Series Forecasting
Analyzed stock market data, applying LSTM models for trend prediction. This project involved extensive EDA and sequential regression modeling to forecast trends and ROI.
Natural Language Processing (NLP) for Sentiment Analysis
Conducted sentiment analysis on Efood restaurant reviews using various ML techniques and deep learning methods, including a Multi-layer Perceptron Classifier for improved accuracy.
Chat-bot Development for Event Management Industry
Developed and fine-tuned a chatbot using Retrieval-Augmented Generation (RAG) for the event management industry, including EDA, data preprocessing, and dimensionality reduction.
Card Management System PowerCard Project
Developed and managed the PowerCard platform, focusing on the implementation of a comprehensive card management system, ensuring secure transactions, scalability, and integration with third-party services.
E-Morfosi Platform
Designed and implemented the E-Morfosi platform, an e-learning solution aimed at enhancing educational experiences through interactive content, robust backend systems, and scalable architecture.
Multiple Linear Regression Model of Energy Use in Appliances
Created a multiple linear regression model for predicting energy use in appliances, with steps including EDA, PCA, and model estimation using Gradient Boosting Regressor.
Regression with a Deep Neural Network (DNN) using Keras
Implemented a regression model using a deep neural network (DNN) with Keras, experimenting with various neural network architectures and hyperparameters.