LokeshSreenathJ
I'm currently a graduate student in Industrial Engineering at UIUC. Quite enthusiastic in deriving logical insights from the data for product decision.
University of Illinois, Urbana-ChampaignChampaign, Illinois
Pinned Repositories
Bankruptcy-Prediction---Analytics
Built XGBoost Classifier using SMOTE technique and Hyper-Parameter Tuning
Big-Graphs-and-Networks
Building Graph theory algorithms from Scratch
Hierarchical-Recommendation-System
Build a Implicit Hierarchical Recommendation System for electronics company using their 12-months rolling margin, volume & profits.
House-Price-Prediction
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
Kidney-Disease-Classification-MLFlow-DVC
Implementing Kidney-Disease-Classification using MLFlow & DVC
L-Layer-Deep-NeuralNetwork
Built a Regularized L-layer Deep Neural Network from Scratch
Machine_Learning-I
Building Supervised/Unsupervised Machine Learning models using Pytorch
Machine_Learning-II
Building machine Learning models using Pytorch
Spotify-Data-Pipeline-using-Snowflake-AWS-Spark-
Built a Spotify Data Warehouse by automating the data injection of Global 50 songs on weekly basis integrating AWS Lambda and AWS EMR
Text-Classification-using-Category-Label-Embedding-and-Weakly-Supervised-Learning
Building a model that utilizes Category guided Embeddings and Weakly Supervised Learning.
LokeshSreenathJ's Repositories
LokeshSreenathJ/Bankruptcy-Prediction---Analytics
Built XGBoost Classifier using SMOTE technique and Hyper-Parameter Tuning
LokeshSreenathJ/Big-Graphs-and-Networks
Building Graph theory algorithms from Scratch
LokeshSreenathJ/House-Price-Prediction
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
LokeshSreenathJ/Machine_Learning-I
Building Supervised/Unsupervised Machine Learning models using Pytorch
LokeshSreenathJ/Machine_Learning-II
Building machine Learning models using Pytorch
LokeshSreenathJ/Hierarchical-Recommendation-System
Build a Implicit Hierarchical Recommendation System for electronics company using their 12-months rolling margin, volume & profits.
LokeshSreenathJ/Kidney-Disease-Classification-MLFlow-DVC
Implementing Kidney-Disease-Classification using MLFlow & DVC
LokeshSreenathJ/L-Layer-Deep-NeuralNetwork
Built a Regularized L-layer Deep Neural Network from Scratch
LokeshSreenathJ/Mem_LPA-Clustering
Parallel Implementation of Memory-based Label Propagation Algorithm for Community Detection
LokeshSreenathJ/Revised-Simplex-for-Constraint-Optimization
Built a linear Constraints Optimization Algorithm from Scratch that works on any type of linear optimization problem
LokeshSreenathJ/Spotify-Data-Pipeline-using-Snowflake-AWS-Spark-
Built a Spotify Data Warehouse by automating the data injection of Global 50 songs on weekly basis integrating AWS Lambda and AWS EMR
LokeshSreenathJ/Text-Classification-using-Category-Label-Embedding-and-Weakly-Supervised-Learning
Building a model that utilizes Category guided Embeddings and Weakly Supervised Learning.
LokeshSreenathJ/test_case
LokeshSreenathJ/VAE_Tumor
Low Resource Tumor detection by generating Pseudo-minority-class training samples using trained VAE
LokeshSreenathJ/Web_Scraping