Name: Lokesh Sreenath
Type: User
Company: University of Illinois, Urbana-Champaign
Bio: I'm currently a graduate student in Industrial Engineering at UIUC. Quite enthusiastic in deriving logical insights from the data for product decision.
Location: Champaign, Illinois
Blog: https://github.com/LokeshSreenathJ
Lokesh Sreenath's Projects
Built XGBoost Classifier using SMOTE technique and Hyper-Parameter Tuning
Building Graph theory algorithms from Scratch
Build a Implicit Hierarchical Recommendation System for electronics company using their 12-months rolling margin, volume & profits.
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
Implementing Kidney-Disease-Classification using MLFlow & DVC
Built a Regularized L-layer Deep Neural Network from Scratch
Building Supervised/Unsupervised Machine Learning models using Pytorch
Building machine Learning models using Pytorch
Parallel Implementation of Memory-based Label Propagation Algorithm for Community Detection
Built a linear Constraints Optimization Algorithm from Scratch that works on any type of linear optimization problem
Built a Spotify Data Warehouse by automating the data injection of Global 50 songs on weekly basis integrating AWS Lambda and AWS EMR
Building a model that utilizes Category guided Embeddings and Weakly Supervised Learning.
Low Resource Tumor detection by generating Pseudo-minority-class training samples using trained VAE